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skills. Is confident using digital learning tools such as Python, SAS, Stata or similar. Holds (or will soon complete) a doctorate in Finance or a closely related field. Enjoys contributing to the wider
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
), with evidence in open-source code or deployed tools. - Solid programming and ML/NLP engineering skills in Python or ideally modern deep-learning stacks (e.g., PyTorch/JAX, HuggingFace/Transformers
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research involving speech, voice, or motor control Experience managing a team of student researchers Technical aptitude in any of the following: MATLAB, Python, R, signal processing, or biomechanics Other
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and experience. Knowledge of scientific programming languages such as C/C++, Fortran, Python, R, etc. Working knowledge of software related to cluster computing and servers, such as Flex, Slurm, PBS
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the Collaborative Doctoral Partnerships programme, training researchers at the science-policy interface. Where to apply Website https://jobs.unibas.ch/offene-stellen/phd-position-ai-driven-pathways-to-health
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results from junior staff, formulate conclusions, and inform team leaders. Develop and implement new computational and statistical methods. Write, test, and maintain code in Python, with a willingness to
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collaboration with experimental scientists. Our group develops and maintains open-source software for data analysis, including HiCognition (https://www.hicognition.com) for interactive exploration of genomics
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scheduling. SKILLS Proficiency in data models, queries and reports in Excel, Python or R, SQL, Tableau or PowerBI. Strong skills in data validation, profiling and integrity checks. USG Core Values The
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technical field Strong programming skills in Python, with experience developing APIs, backend services, or automation workflow Demonstrable experience building AI-enabled applications that integrate large
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Assistant professor position (non-tenured) in molecular dynamics simulations of plant hormone tra...
candidate has A relevant Ph.D. degree and a documented background in molecular biology and biochemistry. Experience in performing and analysing molecular dynamics simulations. Proficiency in Python