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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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. Require skills The candidate should have strong expertise in cybersecurity and/or machine learning/deep learning, particularly in representation learning. Proficiency in Python programming is expected
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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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Java, Python, and JavaScript, as well as modern application frameworks such as Node.js and Spring. Experience with RESTful API design and integration, including familiarity with Model Context Protocol
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using reporting and data visualization tools such as Tableau and Power BI. * Demonstrated experience with statistical software packages such as R, Python, SPSS, JMP, or SAS. * An equivalent combination
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aeroacoustics (wind tunnel testing, microphone arrays) MATLAB / Python for signal processing CFD software (ANSYS Fluent, OpenFOAM) FEM softwares (COMSOL, ACTRAN) Spectral analysis (FFT, wavelets) Behavioural
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cognitive tasks (Python/MATLAB) Apply computational models of behavior and cognition Analyze high-dimensional datasets (behavioral, physiological, neuroimaging) Publish in leading international journals and
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, or job experience. Proficiency in programming (Python, Julia) (provide evidence with specific examples). Experience with statistical modelling and experimental design. Ability to work in a
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degree or Master’s degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, or a closely related field. Strong programming skills in Python, with experience in relevant
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techniques d'analyse chimique (RMN, UV-VIS, analyse d'image, photochimie…) • Connaissance des techniques d'analyse d'image (image J, programmation Python...) Savoir-être • Rigueur scientifique et technique