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Demonstrated working experience with cellular and molecular biology techniques Demonstrated coding experience in MATLAB or Python (or similar languages) Demonstrated experience with advanced microscopy (e.g
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., PTRwid or PTRViewer, or similar software), as well as experience in programming, command-line environments, and statistical analysis (e.g., R, Python, or related tools). Experience with metagenomics (e.g
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
extreme weather to pandemics to cyberattacks. - Applicants must have significant computer coding skills, e.g., Python, R - Excellent written, oral, and interpersonal communication skills. Preferred
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, linear mixed models, structural equation modeling, multilevel models) You are proficient in using one or more common statistical analysis software packages (R, SPSS, Mplus, Python, etc.) You have a very
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-depth knowledge of QKD protocols: e.g. different encodings for BB84, entanglement-based QKD and of free-space optical (FSO) communication Programming and instrument-control skills: e.g. Python, MATLAB
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
/She should have knowledge on stochastic parameterization. She/he must have a good knowledge of Fortran, Python, Pytorch. Specific Requirements The candidate will work within an international
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, preferably in Python, MATLAB, R, or comparable tools. Strong communication skills and proficiency in spoken and written English. The ability to work both independently and collaboratively in
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physics/mechanics. Experience with and enthusiasm for numerical simulation tools including programming in fortran/python. A research-oriented mindset: critical thinking is your second nature. A team player
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data advantageous Excellent programming skills in STATA, R, or Python. Excellent track record in terms of international publications in peer-relevant media Willingness to acquire third-party funding
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analysis of multi-omics datasets. Prior experience with microbiology techniques. Familiarity with mouse models and proper mouse handling. Skills in at least one programming language (R or Python