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essential. Experience with MATLAB or Python computer programming for neuroimaging data analysis is essential. Experience in MRI and/or EEG acquisition and analysis is desirable. Experience working on research
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, raster/vector analysis, spatial statistics). Strong programming skills (such as R or Python), including experience with data processing and analysis workflows. International publication activity and
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spatial transcriptomic data using R or Python; interprets findings in the context of transplant immunobiology. Establishes new research protocols and procedures: Develops and optimizes protocols
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with bioinformatics tools and analyses. • Experience with electrophysiology and proficiency in MATLAB/Python/R models of auditory and vestibular diseases. FLSA Exempt Full Time/Part Time Full Time Number
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
training and experience in toxicology, pharmacokinetics, transport modelling, and/or gene-environment interaction studies would be beneficial but not required. Prior training and experience with R or Python
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 7 hours ago
strong backgrounds in orbital dynamics, statistical methods, and/or observational astronomy. Experience with FORTRAN, perl and python highly desirable. Point of Contact Mikeala Eligibility Requirements
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in developing engines and/or fuel cells models in GT-Power. Experience in using MATLAB/ Python/Siemens Simcentre to develop AI-assisted programme and models for powertrains and propulsion systems
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analysis skills (e.g., Python, MeVisLab, Blender) A clear affinity for the field of (bio)mechanics The candidate should be a team player with excellent communication skills In our international working
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., Computer Science, Cognitive Science, Human Computer Interaction, Human Robot Interaction or Artificial Intelligence. experience in programming, preferably Python. fluent in spoken and written English. It is
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
for isomerization in MOFs: https://doi.org/10.1039/D3QI01065A What we are looking for: A PhD in Chemistry, Materials Science, Physics or a related field Experience in python (ASE, scikit-learn, pytorch) is essential