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on the research focus "Resources and Sustainability". The research focuses on the interface of human-environment research. The general theme associates process mapping and modelling, creation of material balances
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mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High
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social acceptance of synthesis pathways, enzymes and compounds. The work shall embed environmental, economic and societal life-cycle performance to design and decision-making for production marine
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-chemoreceptors-interactions in a cellular model system using mostly biochemical and cell biology assays including sensory studies • Eukaryotic cell culture and transfection of cell lines • Gene expression analyses
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doctorates, it represents an innovative and unique organisational and structural model for the doctoral phase by connecting research and qualification as well as cooperation of science and economy. GSaME
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semesters Beginning Winter semester Application deadline Please visit https://www.uni-muenster.de/Baccara/application/index.html . Tuition fees per semester in EUR None Combined Master's degree / PhD
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mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners are further developed in different areas, which open up numerous opportunities
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Classification Title: Post Doc Associate Classification Minimum Requirements: A Ph.D. in biomedical informatics, computer science or a related field. Working experience with large language models
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Max Planck Institute for Plant Breeding Research • | Koln, Nordrhein Westfalen | Germany | 2 months ago
sciences with expertise in molecular plant genetics, plant biochemistry, cell biology, bioinformatics, and mathematical modelling of biological processes. Details can be found at: http://www.mpipz.mpg.de
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; improved measurement techniques that ideally push resolution limits to the single molecule level; statistical methods to deal with high-dimensional, often noisy, data sets; and mathematical modelling