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desirable. Experience with fluid–structure interaction (FSI) modelling is an additional advantage. Experience with scientific programming (e.g., Python, MATLAB, C++ , or similar languages) is advantageous
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estimation. Experience with convex or semidefinite optimisation, variational methods, or computational complexity. Proficiency in relevant scientific programming or quantum-software tools, such as Python
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, and modeling tools (e.g., Python, MATLAB, TCAD, photonic simulation software). Strong analytical, problem-solving, communication, and teamwork skills, with the ability to work independently in a
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Models. Experience with deep learning frameworks such as PyTorch or TensorFlow. Proficiency in programming languages including C/C++, Python, Java, and Go. Familiarity with Digital Content Forensics
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using python, MATLAB, etc. Ability to support organisation of webinars and remote and in person training activities Publications in Q1 journals on the above topics Please see the attached job description
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econometric skills and experience using statistical software such as Stata, R or Python. You will bring demonstrated experience in empirical research, survey design or implementation, data analysis and research
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Stephen & Denise Adams Center for Parkinson's Disease at Yale School of Medicine | New Haven, Connecticut | United States | about 2 months ago
to therapeutic discovery You bring PhD in computer science, bioinformatics, computer science, or related field Strong coding skills (Python required; ML frameworks preferred) First-author publication(s) Experience
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languages such as Python/Matlab/C++, and knowledge-based skills on Electrical and Mechanical Systems. Priority would be given to candidates that possess relevant industry experience. Selection process
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for research and data analysis purposes (e.g. Python or similar languages), experience with eye-tracking or physiological sensing methods, as well as strong numerical and analytical skills. Competent in general
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listed in the project description above (ideally SAR for cryosphere applications) Strong programming skills (preferably Python or MATLAB) Strong background in statistics Fulfillment of the requirements