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-time, and evidence-accumulation phenomena. Implement simulation, parameter-estimation, and model-comparison methods in Python, MATLAB, R, or related computational environments. Lead and co-author
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• Has strong background in optimization methods. • Is proficient in programming econometric models in R, Python, or MATLAB. • Good written and verbal communication skills. • Candidates without
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environments Data management and visualization using modern programming languages (e.g., Python) Processing complex data to produce easily understandable results Interpret and publish results in progress reports
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more heavily Experience with database design, database programming skills, SQL skills Experience designing ETL solutions Expert in one or more programing languages (Java and Python preferred) Experience
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Computer Engineering, Engineering Physics, Aerospace Engineering or related areas. Basic knowledge of electromagnetics/RF. MATLAB/Python, RF instrumentation, electromagnetic simulation (CST or HFSS), 3D
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 12 days ago
for Pore-C data Image analysis Programming in R and/or python Your profile We are looking for a motivated team player with strong communication skills and the desire to work in a dynamic environment
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Python. Knowledge of machine learning, data analysis, and experimental evaluation methods. Familiarity with cybersecurity concepts, intrusion detection, and network or system security. Ability to work with
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experiments • Analyze imaging and behavioral datasets using MATLAB or Python • Contribute to manuscript preparation and grant development Required Qualifications • Ph.D. in Neuroscience or related field
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French National Institute for Health Research (INSERM) | Lille, Nord Pas de Calais | France | 2 months ago
bioinformatics workflows in Python for the analysis of transcriptomic, proteomic, single-cell transcriptomic, and interactome datasets. Design and implement Big Data and machine learning approaches using Python, R
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Python and with machine learning toolkits; experience with software development practices, including git-based version control and CI/CD; excellent project management, analytical, problem-solving