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Python programming skills to implement and prototype research ideas. • A solid mathematical foundation to support the design and analysis of algorithms and systems. • Curiosity, motivation, and the
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biological and medical research questions. Strong expertise in (Bayesian) statistics and data science Experience with mathematical modelling (e.g., linear algebra, linear models methodologies
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neuroscientists, bioinformaticians, mathematical modellers and software engineers. Your research will focus on developing ML- and AI-supported methods and tools to analyse heterogenous multimodal data
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integration, etc.. Participation in these projects will include scientific programming, data analysis, manuscript preparation, meeting with collaborators, etc.. Minimum Qualifications A Ph.D. in computer
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mesocosm experiments. You will be measuring greenhouse gas fluxes using advanced methods for gas detection in the field and laboratory, including stable isotope techniques, and deploy mathematical and
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connectivity and human alterations Job #JPF03130 Environmental Studies Program / College of Letters & Science - Mathematical, Life, and Physical Sciences / UC Santa Barbara Position overview Position title
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University of Pittsburgh - Center for the Neural Basis of Cognition / Bioengineering | Pittsburgh, Pennsylvania | United States | about 1 month ago
) Electrophysiology or others forms of recording neural activity Neuroscience Behavioral training Programming in MATLAB or Python Data science, statistics, machine learning, modeling, dynamical systems, or other
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background in communication and transport network design, with demonstrated expertise in network resilience or survivability and in network optimization. Solid programming skills (for example in Python) and
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data integration, especially in molecular medicine; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal
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Strong programming skills in Python; knowledge of R, Shell, and Linux is an advantage Experience with Git, Docker, CI/CD, and development of ML pipelines Experience with databases, APIs, and