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cerevisiae as the model system. The project will combine yeast genetics, biochemistry (western blot, immunoprecipitations, protein mass spectrometry…) and cell biology (various fluorescence microscopy
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associated thermodynamic calculations Experience with microbial inhibition models Model-based data processing Excellence in both written and spoken English You will be working in the research group
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quantifying model uncertainty; experience analysing plant community composition, functional traits, functional diversity, ecosystem functioning or ecological stability; experience with remote-sensing
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analysis and metagenomics from various field experiments, evaluation of microbially mediated regulation of soil carbon fractions, and development of a model that simulates the growth of key soil microbial
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gastruloids as an in vitro differentiation model. We aim for an open and collaborative work environment, with regular scientific exchange and knowledge-sharing that helps lab members learn from each other and
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) treatments to plant physiological and molecular responses and will feed into the project's design-test-model cycle. The position will also strengthen the unit's capacity in plant cultivation under
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available datasets. Collaborating with the Bioinformatics Core Facility, CellX and Associate Professor Martin Thomsen’s group on data analysis and model development. You will report to the Professor
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Shanghai, Madrid or Pune - Hybrid Working Model Call for Researchers and Experts Japan (JP) 3 Junior Research Group Leaders (100%) Bonn, Nordrhein-Westfalen (DE)
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cultures of either methanogens or acetogens Expertise in microbial physiology, including growth kinetics and associated thermodynamic calculations Experience with microbial inhibition models Model-based
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learning model development (e.g., CNNs, UNets, Transformers). Strong programming skills in Python and hands-on experience with deep learning frameworks in PyTorch. Experience with scientific computing