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to organic synthesis and properties of organic molecules, is an advantage. good knowledge of data curation and plotting, electronic laboratory notebooks, Python or similar, are merits. excellent grades from
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laboratory and follow applicable biosafety procedures, risk assessments, and local safety regulations Analyse experimental data in R and/or Python and contribute to statistical modelling and visualization
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, adipocytes, insulin resistance or type 2 diabetes; • integration of proteomics, lipidomics and interactomics data using R, Python or equivalent tools; • supervision, laboratory training
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, neuroscience, statistics, quantitative biology, physics, mathematics or a related discipline. At least 3 years additional relevant research experience beyond MSc Fluency in Python or R programming language
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feedback on the pedagogical design of materials from a student perspective. implementing examples and solutions in programming languages (e.g., Python). learning and applying new technologies for interactive
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, or portable robotic platforms. Experience in programming and configuring control systems for automation and robotics, including relevant programming languages such as PLC, Python, C/C++, MATLAB, ROS
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, optimization, or related fields. Proficiency in scientific programming (e.g., Python, Julia, or C++) and experience implementing optimization algorithms. Proven ability to work both independently and in
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computing environments, such as Python, R, MATLAB or an equivalent tool, for data processing and analysis. good ability to work independently, formulate research questions and select appropriate methods. good
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field. Demonstrated experience with satellite remote sensing for large-scale vegetation or forest monitoring, including Landsat and/or Sentinel-1/2 time series. Strong proficiency in Python for geospatial
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in Electrical or Mechanical Engineering, Computer Science, or a related subject. Proficiency in C++, Python, and ROS 2 is required. Strong scientific skills with proven excellence in real-life