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Field
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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, or equivalent
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R and/or Python, with experience in data integration and statistical analysis. Exposure to RNA therapeutics or functional genomics approaches is an advantage. Strong interest in interdisciplinary
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geological materials and organics; knowledge of spectroscopy and/or scanning and/or transmission electron microscopy techniques. Merits are: experience in spectral data analysis using Matlab, R or Python; a
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skills in English Experience in mathematical modelling, statistics and python programming, demonstrated through course and project work Personal competences in accordance with the requirements profile(e.g
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, landfill leachate, concentrates) and QA/QC routines (blanks, spikes, recoveries) Programming/data handling skills (e.g., Python, MATLAB, R) for data processing and modelling Experience in organic synthesis
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data with computational modeling Programming skills in Python, R, or another relevant language. Interest in machine learning, statistical modeling, structural bioinformatics, or analysis of large-scale
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strengthen your application: Experience with Python, R, Julia, Java, GIS tools, MATSim, transport simulation, network analysis, or similar tools Experience with mobility data, transport networks, census data
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/model documentation, or FAIR data practices. Programming experience in Python, R, Julia, Java, MATSim, GIS tools, or related software. Experience working across disciplines or with stakeholders in
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with proven advanced experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, Python etc.). You should have a strong vision to evaluate and demonstrate the research findings in
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(e.g. Python, Matlab, or similar) at a level sufficient to handle and analyze large datasets Knowledge of physics, meteorology, atmospheric science, or a closely related field at Master's levelgood