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Field
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candidate is also expected to join research cruises to test the implementation of the entire positioning system over the Baltic Sea. Your primary responsibilities will include: Develop, maintain and improve a
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, aerodynamic, and aeroelastic testing. Develop and apply advanced numerical models (e.g., FEA, CFD) to simulate wind effects on structures. Analyze and interpret experimental and numerical data, and disseminate
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(MATLAB, Python, or equivalent), eye-tracking software and hardware (Eyelink or equivalent), MRI, eye-tracking, and psychophysical experimental design, MRI data collection in a 3T Siemens scanner or
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wildtype fungal structures or culturing and growing them in the lab. Perform characterization tests including imaging, mechanical, and chemical testing and subsequent analysis. Analyze data to create
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characterization techniques Experience with common materials characterization techniques and relevant spectroscopies Proficiency in text, graphics, and data processing software Author or co-author on publications in
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processing software Experience with common materials characterization techniques such as HR-TEM, SEM, XRD, XPS, UV-Vis, FT-IR and relevant spectroscopies Preferred Qualifications Preferred Experience
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mechanics, celestial mechanics, mission design, and guidance and control systems; further develop open-source software developed by the ACT, for example, pygmo (optimisation), pykep (astrodynamics), dCGP
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Proficiency in text, graphics, and data processing software Preferred Qualifications Preferred Experience Experience in synthesis of ionic liquids and their characterization Experience with polymer
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interest in pursuing applied research in computer vision and deep learning with a focus on wind energy application. Proven experience with computer vision tool/software development using Python and/or Matlab
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resolution seagrass maps for the Baltic Sea and validate them with available observational datasets. Provide training data (seagrass maps) to support AI algorithms for testing nutrient and climate scenarios