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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you fascinated by understanding fundamental neurobiological processes in
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) writing and oral communication skills in English. You are someone who can work independently, but also a team player who enjoys working in a multidisciplinary team. In our international working environment
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
. Responsibilities and qualifications Your overall focus will be to establish and lead a strong research program in the field of synthetic biology and metabolic engineering of non-model microorganisms, with the aim
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and interaction of our structured graduate programme is English. Knowledge of the German language is not required, but we also offer German language classes at MPL and FAU. The aim of IMPRS-PM is to
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Degree Dr phil PhD Medical Research Dr med Dr rer nat Course location München In cooperation with DFG Teaching language German Languages The working language of the programme is German, so a German
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activities, see the FNIH Precision Dosimetry Imaging Biomarker (PDIB) project: https://fnih.org/our-programs/biomarkers-consortium/precision-dosimetry-imaging-biomarker/ Are you passionate about theranostics
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variety of building stock are unknown. The required selection criteria include: Knowledge of building physics and HVAC system Experience in advanced controls (e.g., RL, MPC) Programming knowledge (e.g
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Finland Application Deadline 24 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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language. Programme duration 6 semesters Beginning Winter and summer semester Application deadline 31 May (winter semester) 30 November (summer semester) Tuition fees per semester in EUR None Combined
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an increasingly complex development environment. Areas to consider that impact the modelling are: Framework Language Process How wide / how deep i.e. what do we model and why? How much provides a good answer i.e