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Field
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System (ROMS) experience with modelling of marine sediments programming skills in FORTRAN, MATLAB and/or Python experience with super-computers and with the Linux environment an established publication
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include: A Ph.D. degree in Chemistry or Physics or Biochemistry with experience in protein dynamics studies. Knowledge about concepts in statistical thermodynamics, in python scripting and C++ programming
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, or ensemble models (e.g., XGboost). Proficiency in programming languages commonly used in data analysis, such as R, Python, or C++ (or similar). Strong communication, collaboration, and presentation skills
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is also expected to re-implement historical narrative systems in Python and help determine the course of a larger collaborative CNS project dealing with such systems. About the LEAD AI fellowship
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Thermo Fisher Orbitrap instruments. Possess knowledge of R/Python and experience in web-based, interactive database establishment. For further information please refer to the attached PD. What we offer you
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and animal-based models R or Python programming expertise is a plus, but not mandatory Excellent oral and written English language skills History of manuscript productivity is needed to be a competitive
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, and how to use them. Evidence of driving innovative science, including publication in high quality scientific journals. Knowledge of programming tools/languages, such as R/Python. Solid understanding
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the ability to multitask and meet deadlines Preferred Qualifications Advanced coursework in econometrics Basic skills in Python Experience living or working in India or Sub-Saharan Africa; knowledge
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interpersonal skills with the highest ethical standards. You may also have Expertise in functional genomics data analysis. Scientific programming skills, including knowledge of R, Bash and Python languages
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. Experience in scientific programming (e.g., Matlab and Python) is a requirement. Experience with analysis of climate data sets is an advantage. Applicants must be able to work independently and in a structured