110 programming-language-"FEMTO-ST"-"FEMTO-ST" research jobs at Northeastern University
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Applied Data Science Postdoctoral Fellowship program. Under this program, the postdoctoral trainee will be co-mentored by NU and JAX researchers working on “Grand Challenges” identified by Roux and JAX
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will be highly motivated, have a strong academic record and research experience in characterizing protein functions in plants or microalgae, and have fluent verbal and written English language skills
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, policymakers, and advocates. Programming skills are essential (we mostly work in Python, though other languages are welcome), as is a strong grasp of statistics and an eagerness to learn more. Recommended
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disease dynamics, preferably with applications to emerging or re-emerging diseases; Proficiency in programming languages such as R, Python, MATLAB, C++, or similar tools for data analysis and model
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research program will execute use-inspired discovery with an entrepreneurial mindset that develops science and solutions that matter to society and impact the Maine economy. Postdocs will receive formal and
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Python and/or MATLAB; familiarity with numerical optimization libraries and scientific computing. Strong written and oral communication skills; ability to work independently and in teams. Position Type
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written English skills, demonstrated through prior research publications. Application Instructions Cover letter describing your research interests and experience Curriculum Vitae (CV) Contact information
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drug design, protein structure modeling and simulations, target-based and phenotype-based compound screening, single cell data analysis and modeling, medical imaging processing, Natural Language
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. Knowledge of systems programming skills and concepts Experience with fundamental OS and storage concepts. Experience with programming heterogenous architecture. Preferred Qualifications: Experience with CUDA
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: This area focuses on the design, development and governance of AI systems, as well as the evaluation, monitoring, and auditing of such systems. NLP & IR 3.0: This area covers the study of large language