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Field
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programming skills in Matlab or Python Relevant experience in the analysis of M/EEG data Strong communication and interaction skills as well as empathy Enthusiasm for scientific work in an interdisciplinary
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complex microphysiological system that allows for the simultaneous control of oxygen saturation, mechanical loading and perfusion Plan and document experimental work Write scientific publications in
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-informed / simulation-aware modeling Efficient algorithms for design-space exploration (e.g., surrogate modeling, Bayesian optimization, differentiable programming) Hybrid approaches combining data-driven
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uncovering fundamental principles of microbial interactions, resilience, and adaptation. We are expanding our bioreactor cultivation program and opening three PhD positions that will shape new cultivation
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programme culminating in either a PhD or a German Dr rer nat degree. Biomedicine The biomedicine section is involved in the study of physiological and pathophysiological processes. Research efforts focus
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available in the further tabs (e.g. “Application requirements”). Programme Description The Munich Aerospace e.V. Bavarian Research Network was initiated in 2010 to combine key expertise in the field
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funded by the German Federal Ministry of Research, Technology, and Space (BMFTR) under the topic focus “Deep geothermal energy ” within the program “Geoscience for Sustainability (GEO: N) ”. The aim
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Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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Modern doctoral education with a structured course programme and skills courses in teaching, academic writing, and presenting Guaranteed funding for the duration of the programme Stimulating research
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, environmental sciences, or a related discipline, is required. Basic knowledge and interest in atmospheric physics Skills in model & satellite data analysis is desired Fundamental programming skills and expertise