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number and including a motivation letter, your CV, academic certificates, and the names and addresses of two references incl. your earliest possible starting date) by email to bewerbung@igzev.de in pdf
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of selection for this job advertisement. Attention is hereby drawn to the risks involved in sending documents electronically. Further information on TROPOS can be found on the homepage: www.tropos.de and in
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of selection for this job advertisement. Attention is hereby drawn to the risks involved in sending documents electronically. Further information on TROPOS and the doctoral program can be found on the homepage
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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complete application documents including the reference number 14/2025 exclusively by email to bewerbungen(at)ipb-halle.de . Review of applications begins on August 15th and will continue until the position
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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, both written and verbal Knowledge of German and/or a willingness to learn Computer/programming literacy, for example in R, and/or software used in image processing (Adobe Photoshop, ImageJ etc.) Ability
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knowledge of Python and FORTRAN programming, UNIX/Linux and shell script Knowledge in dealing with server-based computer structures and high-performance computers (e. g. HLRE at DKRZ) Confident handling
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to serve as a gaseous, metal-free electrode and mediate electrochemical reactions. In particular, the injection of gas-phase electrons into solution to generate solvated electrons, one of the strongest
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submitted electronically no later than the 15th of June 2025 and be addressed to recruiting@senckenberg.de quoting the reference number 10-25005. For data protection information on the processing