135 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "Dr" uni jobs in Germany
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curricula of the study programs of the Faculty of Medicine, as well as active participation in the design of lectures and other teaching formats. The teaching obligation is 9 hours per week during
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. The successful candidate (f/m/d) is expected to be committed to the university’s strategic goals and to actively shape its holistic development (https://www.tu-braunschweig.de/hochschulentwicklung ). In
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of interdisciplinary imaging of the brain is required for a successful research program, demonstrated by relevant publications and successful acquisition of third-party funding. Collaboration with additional research
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with material characterization using microscopy and/or spectroscopy techniques and corresponding data interpretation will be an advantage. Having basic programming skills will be an advantage. Excellent
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) Positions PhD Positions Country Germany Application Deadline 8 Feb 2026 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Negotiable Is the job funded through the EU Research Framework Programme
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the related Graduate School training programs. Qualifications The applicants should possess: an excellent or very-good university degree in economics, environmental economics, agricultural sciences with a focus
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candidate has a repertoire of innovative methods at his or her disposal. Outstanding commitment to university teaching in the field of political and administrative science programs is required. Management
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on Agricultural Economics Very good knowledge of crop production systems In-depth expertise in the economic analysis and optimisation of crop production systems (e.g. using linear programming
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management Confident use of MS Office programs and statistical software (e.g., SAS, R, JMP) Ability to work in a team and willingness to cooperate, reliability, flexibility, personal commitment, and ability
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, first served). Application deadline: 25 March 2026. About Us The candidate will be a part of the LEAPS research group (LEarning Analytics and Practices in Systems) led by Prof. Dr. Oleksandra Poquet