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Aerospace Engineering, Aeronautics or a comparable degree, thorough knowledge of AI/ML methods, acoustics, and air traffic management are preferred, as well as excellent programming (Python, Java, C++, …) and
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aperture synthesis) and testing (calibration and performance verification). You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship As a trainee, you
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. Contribute to Europe’s photonics ecosystem through involvement with PITC, JePPIX, and Chips for Europe initiatives Where to apply Website https://www.academictransfer.com/en/jobs/358372/phd-on-compact-models
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attitudes. The successful candidate is expected to contribute to the research project while also having time for independent research. There will be a very light teaching load Where to apply Website https
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presentations, and consortium meetings. Supervise junior student projects, where appropriate. Complete and defend a PhD thesis within four years. Where to apply Website https://www.academictransfer.com/en/jobs
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on development of tools for i) improved imaging, ii) characterization of metabolism, and iii) monitoring of protective and -restorative therapies. Where to apply Website https://www.academictransfer.com/en/jobs
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involving the analysis of omics or twin datasets. Essential qualifications include: A strong computational background, with experience in one or more programming languages (e.g. R, Python, Perl, or shell
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in Python and affinity with large geospatial datasets. Interest in interdisciplinary research at the interface of geoscience, engineering, and societal impact. Good communication skills and willingness
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, psychometrics – especially in dealing with violations of measurement invariance, as well as extensive computer programming experience in R and Python. Given that the project lies at the intersection of psychology
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-have: You can independently and confidently analyze quantitative data and you can write reproducible code (for example, in R or Python). Good-to-have: You have worked with large-scale text data, natural