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, 27 employees and students are working together with renowned industry partners on the further development of LPBF for a wide range of industrial applications – from new machine concepts and innovative
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of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using
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industry partners in the department of the same name to further develop LPBF for a wide range of industrial applications – from new machine concepts and innovative process strategies to the processing
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; Individualized mentoring A qualification program tailored to academic as well as professional career paths. The positions are limited up to 3+1 years, starting 1 April 2026; salaries are predicated on the German
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participation in the related Graduate School training programs. Qualifications The applicants should possess: an excellent or very-good university degree in economics, business studies, agricultural sciences with
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training programs. Qualifications The applicants should possess: an excellent or very-good university degree in economics, business studies, agricultural sciences with a focus in economics, or related
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that are technically well-grounded and at the same time represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster
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The Leibniz-Institute for Educational Trajectories invites applications for the following full-time position (salary according to the collective agreement "TV-L" max. E13, 100% working time
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-hamburg.de/en/stellenangebote/ausschreibung.html?jobID=3a4173312b40301dab63ea5520d570971bb52f18 or contact Prof. Ina Meier at ina.meier@uni-hamburg.de. Please submit your application (incl. cover letter, CV
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training