🚀 Great news! We’re on the lookout for a talented Mathematical Scientist to join our dynamic team. If you have a passion for solving complex problems and a PhD in Mathematical Sciences, this could be your next big opportunity! Check out our job posting here: https://lnkd.in/gKjsNc8c Let’s explore the power of mathematics and AI together! 🔢💡 #MathematicalSciences #DataScience #PhDJobs #AcademicJobs #MathJobs #ResearchJobs #STEMJobs #JobOpening #HiringNow #CareerOpportunities #remotejobs #workfromhome
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Check out this PhD position in Image Processing and Computer Vision with Noorbakhsh Amiri, PhD in The Department of Computer Science & Engineering at Mississippi State University (Mississippi State University), a partner institution with the Mississippi Artificial Intelligence Network (MAIN). #PhDOpportunity #PhDPosition #ComputerVision #ImageProcessing #ImageDenoising #DeepLearning #PhD
---Call for PhD Position in Image Processing and Computer Vision--- There's a PhD position available for the upcoming Spring semester to work with Dr. Amiri in the Department of Computer Science and Engineering at Mississippi State University. This is an exciting opportunity for a dedicated individual who is passionate about advancing the field of image processing and computer vision, with a particular focus on image denoising using deep learning. Position Overview: The selected candidate will be involved in cutting-edge research aimed at developing innovative deep learning algorithms for image de-noising. They will have the chance to work on real-world problems and contribute to the advancement of computer vision technology. Key Responsibilities: · Conduct research and experiments in the area of image processing, computer vision and image de-noising using deep learning techniques. · Develop and implement algorithms for effective image processing. · Collaborate with a team of researchers and contribute to joint projects. · Publish findings in high-impact factor (IF) journals and present at top-tier conferences. Qualifications: · A master’s degree in computer science, Engineering, or a related field. · A strong record of quality publications in high IF journals and top-tier conferences. · Proficiency in both programming languages such as Python and MATLAB. · Experience with deep learning frameworks like TensorFlow and PyTorch. · A solid understanding of image processing, computer vision, deep learning and optimization concepts. · Excellent analytical and problem-solving skills. · English language proficiency according to the university requirements. *** This position is highly selective, and we are seeking candidates who demonstrate exceptional ability and a strong commitment to research excellence. Interested candidates should send a detailed CV, a cover letter highlighting their research interests and experience to: [email protected]. #imageprocessing #computervision #computerscience #phdposition #phdopportunity #imagedenoising
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AI, ML, LLM, etc. are moving so fast that most “experience” from 2 years ago is obsolete. With OpenAI, Llama, and Bard, the unsupervised methods from early this year are now obsolete. Hire for ability to take in new information, to ask the right question, to find the right problem, and THEN allow the new techniques to solve those problems…..
I have a degree in Physics, but I must have missed the lesson about the retroactive time-dilation that occurs following a technology breakthrough. I've reviewed countless ML resumes over the past 4-5 years, and I've never seen such a dramatic shift in self-reported experience. It just goes to show how brittle and misleading resumes can be. #llms #ml #datascience #jobseekers #hiring #chatgpt * Plots are estimates based on my personal observations. Not rigorous survey results.
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Biomedical Scientist- Adeleke University; Principal Investigator/Founder of Helix Biogen Institute, Vaccine/Diagnostic Kits Developer; Molecular Biologist; Bioinformatician; Biotech Start-up Consultant; Sciencepreneurer
A #biomedical #scientist can improve their skills in the following areas: Learn Programming Languages: Biomedical scientists should be fluent in at least one programming language, such as R or Python, which are commonly used for data analysis in biomedical science. Develop Statistical Analysis Skills: Biomedical scientists should develop statistical analysis skills to analyze and interpret large datasets. Develop Machine Learning Skills: Biomedical scientists should develop skills in algorithm development for artificial intelligence or complex machine learning. Practice Data Visualization: Biomedical scientists should develop data visualization skills to effectively communicate their findings to non-technical audiences. Participate in Research Projects: Biomedical scientists should participate in research projects to gain hands-on experience in data analysis. Take Courses or Workshops: Biomedical scientists can take courses or workshops to learn new data analysis techniques and tools. Collaborate with Experts: Biomedical scientists can collaborate with experts in data analysis to learn new techniques and approaches. Stay Up-to-Date with Industry Trends: Biomedical scientists should stay up-to-date with industry trends and advances in data analysis techniques #skills #biomedicalscience #science #biomedical
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AI Enthuisiastic -- Passionate about building products leveraged by AI.Recenlty delving into the wonders of Quantum Computing for Machine Learning (QML).
True that, technological advancements may or may not be applied to real-world use cases directly; but the sudden impact seen in resume of job seekers adding buzz-worda and jargon related to the the breakthrough in their resume. And, they aren't responsible for such act alone, such actions are catalyzed by recruiting firms adding " must be having professional experience of 3 years in ___" in the job descriptions. (Even when the field is very new i.e less popularised before few weeks )
I have a degree in Physics, but I must have missed the lesson about the retroactive time-dilation that occurs following a technology breakthrough. I've reviewed countless ML resumes over the past 4-5 years, and I've never seen such a dramatic shift in self-reported experience. It just goes to show how brittle and misleading resumes can be. #llms #ml #datascience #jobseekers #hiring #chatgpt * Plots are estimates based on my personal observations. Not rigorous survey results.
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We're hiring a Machine Learning research scientist or engineer to work on active learning for small-data and data-limited domains, especially biology. To do this, we're developing RL-flavored transformer-successor systems that learn a model of the world through interactive observation. These systems then mechanistically reason over that model to select actions, infer hidden states (e.g. perception), and assess uncertainty (e.g. for improving the model, counterfactual reasoning, and constraint satisfaction). Unlike other approaches leveraging LLMs, we do not pretrain with human data - competency is wholly bootstrapped. (By induction, if we can go from 0 -> 1, then we can also go 1 -> N.) This research is funded by Schmidt Futures, hence we will publish our results and encourage collaborations. Please send a message if this interests you! [email protected]
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🔔 Do you know what skills you need to have to get a job in #quantumcomputing ? A career in #quantumcomputing can offer engaging work, recognition within the industry, as well as high annual salaries. 💪 Firstly let me motivate you a bit here As you know - this rapidly emerging technology can be applied to a number of fields :- - In software development - In healthcare, medicine, and artificial intelligence. - In 2023, the worldwide global quantum computing market was estimated to have $866 million in revenue. - Expected to reach this figure around $4.375 billion by 2028. - More industries are investing in and using #quantumcomputing technology. - Hence, there will be number of job positions in quantum fields What do you need to have to get the job ? 👉 Must have comprehensive understanding of applications of the principles of calculus, trigonometry, calculus etc. 👉 How to use Linear algebra - mostly used to describe quantum operations and qubit states 👉 Probability theory - predicts the behaviour of the system and its possible outputs 👨💻 Apart from having mathematical knowledge, you also need to know how to use #quantumprogramming language to code #python - supported by numerous #quantumcomputing frameworks, such as Ocean and Qiskit. #qiskit - This offer tools to enable you to create and execute quantum circuits, simulate quantum computers, and run quantum algorithms #Ocean - This offer tools -written in python- for simulating quantum computers, developing and executing quantum circuits, and running quantum algorithms. #Cirq and Q#- is used to write quantum algorithms developed by Google and Microsoft respectively. So, if you want to get a job in quantum computing, then start with to have these skillsets 😊 #quantumcomputing #careerinquntumcomputing #careergrowth
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IT Lead Engineer | Ph.D candidate in Fintech and Innovation | Business and Leadership Enthusiast | CCNA
good opportunity
I'm hiring a Postdoc Research Fellow in machine learning (topics include adaptive data analysis, differential privacy, ML databases), at the University of Melbourne, apps closing 11 Jan 2024 (AEDT) 🇦🇺🎓 https://lnkd.in/gn23eY8q Reshares appreciated!
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A very insightful post from Mohamed El Hadidi, Ph.D. today, for anyone (especially young scientists!) interested in a career in bioinformatics. It's not always easy to know how to reach a specific goal in science, but this set of advice will provide a very good basis for it. #careerAdvice #Bioinformatics #science
Director of the Bioinformatics M.Sc. Program - University of Birmingham Dubai | Associate Professor | Consultant in Metagenomics | Multi-OMICS | NGS | Human Genome Projects
#CareerAdvice in #Bioinformatics Thinking about a bioinformatics career? Interested in making tools or analyzing data? Your choice affects how much programming and biology you'll need! Start in bioinformatics with a clear goal. Do you prefer building tools with smart code, or digging into data for biological insights? If you are considering a career in bioinformatics, it is crucial to have a blend of programming/statistics skills and a strong foundation in biology and OMICS sciences. The level of proficiency required in programming and biology will vary depending on whether you lean towards tool development or data analytics within bioinformatics. Tool Development Side: > Programming Skills: Intensive programming knowledge and expertise in algorithm design are essential. > Biology Knowledge: Understanding of biology is crucial as it influences tool design and algorithm behavior. Data Analytics Side: > Programming Skills: Basic programming skills are necessary for automating data processing efficiently. > Biology Knowledge: Comprehensive understanding of biology aids in interpreting results and deriving biological insights from data. In both areas of bioinformatics, familiarity with AI can significantly enhance the accuracy, precision, and speed of outcomes. Before delving into bioinformatics, it's important to determine which side aligns more with your interests and then enhance your programming and biology skills accordingly to the required depth. #Bioinformatics #Programming #Biology #DataAnalysis #CareerAdvice
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