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(or equivalent experience) Essential Application Demonstrable computational and programming skills (e.g. Python, MATLAB, or similar) for data processing and analysis Essential Application/interview
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and perform simulations using established software like MEEP and COMSOL, as well as custom-written code based on languages like C++, Python, Matlab Lead papers and publish in high-impact journals
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(e.g., Python, MATLAB), statistical programming languages (e.g., R, SPSS, SAS), and/or stimulus presentation software (e.g., Psychtoolbox, Presentation, ExperimentBuilder, PsychoPy) is desired. 5
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of software and resource sharing in collaborative work. DATA EXTRACTION, PROCESSING, AND ANALYTICS This position will utilize data science and statistical software such as Python, R, and SAS, to analyze and
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scheduling systems. Basic programming skills in Python are required, as well as experience working with biological or biomedical datasets. The successful applicant should demonstrate the ability to work both
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modelling, or machine learning). Proficiency in statistical programming (e.g., R, Python, Stan, or similar). Experience developing and managing longitudinal studies. Evidence of contributions towards
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, modeling and simulation of industrial processes. Proficiency in chemical process simulation software (e.g., gPROMS, Aspen, DWSIM, UNISIMDESIGN). Strong programming skills in Python aConditions: The person
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, or machine learning. Proficient in programming languages such as Python, C++, and MATLAB. Strong publication record in relevant research areas. Excellent communication and teamwork skills. Modes
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biological mechanisms utilizing U-M Core Facility resources. Experience in Python or R programming is highly preferred. Mission Alignment: Candidates must demonstrate a clear interest in ecology and species
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allow you to develop competences in Analysis of population recordings (suite2p and python) Quantification of behavioural (DeepLabCut and python) Analysis of the MICrONS dataset ESSENTIAL REQUIREMENTS