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Field
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, MATLAB, or Python) and use of generative AI is an advantage. Open to fixed-term contract. Please apply via the NUS Career sit. You may send a copy of your cover letter, CV and names of 3 references (name
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prototyping tools, Python, MATLAB, and R Perform other duties as assigned. Working Conditions: Works in a laboratory environment with potential exposure to biological and chemical hazards. Must be physically
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-Oriented, Interpersonal Communication, MATLAB Programming, Microsoft Office, Neuroimaging, Oral Communications, SPSS Data Analysis, Written Communication Grade R06-H Salary Range $16.92 - $26.44 / Hourly
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spectrometry would be advantageous as would experience using R and/or python code for bioinformatics data analysis of multiplex datasets. Knowledge of MATLAB, Perl, CellPhoneDB, CellChat, NicheNet, Seurat. In
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. Experience with basic mathematical principles and their application in modelling. Familiarity with programming languages such as Matlab or Python . Given the interdisciplinary nature of the project, a strong
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research and statistical software package, such as Matlab, SPSS, SAS, Stata, etc. Experience managing and using multiple Linux operating systems through scripting and management tools for both servers and
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or similar) Has experience of research in spintronics, magnetic materials and/or devices Exhibits data analysis skills and familiarity with standard scientific programs (e.g. Matlab, Origin, Mathematica
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Strong background in computational neuroscience and neural modelling Proficiency in programming (e.g., Python, MATLAB, and similar languages) Experience with large-scale neural network simulations
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: Mouse handling and some experience with basic behavioral tasks. Good PC Skills, with ideally some knowledge of python, R or Matlab. Strong organizational skills and flexibility in responding to changing
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
protocols. In addition to hands-on work with rodent models, the candidate will manage and analyze large-scale datasets using tools such as MATLAB, Python, or similar platforms, contributing