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learn new advanced analysis techniques (e.g., in Matlab, R, or Python) if relevant for the task. Write up research results in the form of journal articles. Participate in and co-arrange national and
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. Your competencies We imagine that you: have a background in digital signal processing and machine learning. have substantial experience with scientific computing in Python and ideally also MATLAB. have
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. Python, C++, R, MATLAB, Julia). Expertise in machine learning algorithms and techniques. Familiarity with AI frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience working with large datasets and
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developed algorithms for extraction of digital mobility outcomes (e.g. gait outcomes) Very good knowledge of and experience using Matlab or equivalent programming languages (e.g. R, Python) Database and
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response windows) and balance metrics using appropriate software (e.g. MATLAB, EEGLAB, BrainVision Analyzer). Manage research data in line with ethical and GDPR standards, including anonymisation, secure
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in working with large data sets and the development of numerical models. Basic knowledge of glaciology or geodesy. Good expertise in programming, e.g. in Python, MATLAB, or other high-level programming
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electrochemical impedance spectroscopy (EIS). Analysing and evaluating experimental data using Matlab or Origin. Discussing results, documenting results and summarizing findings in a final report. Your Profile
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mechanical design Experience with beam shaping techniques (e.g., spatial light modulators, diffractive optical elements) Proficiency in programming languages like LabVIEW, Python, MATLAB, or C++, and
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Responsibilities Develop and refine computational models for bioenergy and bio-based processes. Apply physics-based simulations (thermodynamics, heat/mass transfer, fluid dynamics) using MATLAB, COMSOL Multiphysics
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data analysis skills in: R and Python: development of automated workflows, statistical modeling, data visualization. MATLAB (preferred but not essential): particularly for legacy data handling