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fields Good knowledge of programming languages such as R, Python, Matlab, Mathematica or equivalent Experience in data analysis and parameter inference methods is a plus Experience in teaching and interest
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programming skills (preferably Matlab, or Python) Strong analytical and problem-solving abilities Excellent communication and scientific writing skills, and fluency in English (both written and spoken
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Excellent programming skills (preferably Matlab, or Python), and some experience in machine learning Strong analytical and problem-solving abilities Excellent communication and scientific writing skills, and
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written and oral. Experience with computational tools commonly used in scientific research (e.g., MATLAB, Python, or similar). Above all, a genuine enthusiasm for science and discovery, particularly in
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written and oral. Experience with computational tools commonly used in scientific research (e.g., MATLAB, Python, or similar). Above all, a genuine enthusiasm for science and discovery, particularly in
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. Profile You hold a Master's degree in a relevant field such as data science, computer science, physics, computational biology, or biomedical research. You are proficient in Python programming, with
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fields. Proficiency in Python (5+ years) and some experience with C++ or Rust. Experience with modern software development tools (e.g., version control, CI/CD, testing, documentation). Excellent
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, ImageJ macros/plug-ins, CellProfiler pipelines, Python coding, etc.). Organization and teaching of an image analysis module in a laboratory course for biotechnology master students. Development of analysis
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Computer Science, Artificial Intelligence, or related field. Proven experience in machine learning and neural network architectures. Strong programming skills in Python and familiarity with PyTorch. Experience with
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to work with people from different disciplines and backgrounds Programming experience using languages such as Julia, Python, R, etc. At least one of the following: Experience in applying machine learning