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(optional). Person specification: Prior experience in computer coding (e.g., Python, SLiM), AI modelling, and understanding of evolutionary or conservation genetics / genomics is desirable. Good teamwork
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measurement; Measurement of related tracers (e.g., Radon); Programming (e.g., R, Python) for advanced atmospheric time-series analyses, including machine learning; Skills for presenting research at scientific
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strong interest in evolution and genomics, and a basic understanding of R or Python. Entry Requirements: At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty of Science
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a completed or in-progress Ph.D Good knowledge of quantitative research methods and data in the social sciences, and statistical programs for handling them (e.g., Python, R, and Stata) Experience
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in mechanical engineering, electrical engineering, computer science, AI, or related field, with outstanding study results. DESIRABLE REQUIREMENTS: Programming experience in Python, particular
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information on eligibility requirements. The position requires: The applicant must have strong skills in Matlab or Python -based programming and must be willing to expand their Matlab skills Knowledge about
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these areas are also welcome to apply. Good computational skills and good communication skills in English are required. Interest and experience in software development (Python, git) is desirable but not
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Physics, Time-Resolved Optical Spectroscopy, Photochemistry, Functional Material Dynamics, Laser Physics or Ultrafast Optics Experience in Python, MatLab or C++ is an advantage Good communication skills in
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 21 days ago
autonomy, in microscopy techniques such as live-cell imaging; Good analytical skills, critical thinking, and problem-solver mindset; Knowledge of Python programming language; Excellent oral and written
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implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and data analysis; maintain