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Previous Job Job Title Python Programmer- Casual Appointment Next Job Apply for Job Job ID 376098 Location Twin Cities Job Family Supplemental Employee Full/Part Time Part-Time Regular/Temporary
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: Proficiency with computer programming languages, including Python. Ability to work independently. Ability to manage time and adhere to project timelines. Attend weekly team meetings in addition to one-on-one
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Bachelor of Science degree in biological or equivalent or related fields Mouse handling and some experience with basic behavioral tasks Good PC Skills, with ideally some knowledge of python, R
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of Class II Biological Safety Cabinets (BSC). Prior experience with biological assays, biofluids, or metabolite biosensing. Proficiency in data analysis tools (e.g., Excel, Origin, Python, etc.). Familiarity
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 3 days ago
physics or related field Knowledge in particle/astroparticle physics, cosmology, and physics beyond the standard model Experience with modern programming languages (C/Fortran/Python) Full proficiency in
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benchmarking Proficiency in quantitative research methods, statistical analysis, and computational techniques Proficiency in programming languages such as Python and statistical software such as R, with basic
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near completion) in astrophysics, physics, cosmology or a related field; strong scientific programming skills (Python); research experience in time-domain astrophysics, supernovae, galaxy evolution
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near completion) in astrophysics, physics, cosmology or a related field; strong scientific programming skills (Python); research experience in time-domain astrophysics, supernovae, galaxy evolution
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the study of clouds and cumulus convection Strong conceptual understanding of cloud microphysical and turbulent processes Expertise in the use of modern scientific visualization software (Python, Matlab, etc
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candidate will use programming and computational tools (including Python, MATLAB, and related libraries) to develop, test, and evaluate machine learning models; review, proofread, and execute formal