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innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry tools
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professional and personal suitability. Please mention the disability or equality in your letter of application and enclose a copy of the relevant certificate. How to apply? Please send us your application
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disability or equality in your letter of application and enclose a copy of the relevant certificate. How to apply? Please send us your application documents with cover letter, CV, copies of your certificates
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combines microbial genomics, transcriptomics, and in vitro infection models to explore the adaptive trade-offs between drug resistance and virulence phenotypes. The position is funded for 3 years and
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data Research experience with various demographic models (e.g. msprime, ABC or RELATE) Research experience in the denovo assembly and scaffolding of high-quality genomes using PacBio and Hi-C data
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to investigate the influence of glucosinolate-based amines on the formation of Maillard-like products in model systems and foods, to isolate and identify the resulting products and to find out whether
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and histopathological characterization of tumor cells in tissues using chemical and fluorescence staining Handling in vivo and in vitro models to test research hypothesis and refine study designs
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transduction mechanisms at the protein and membrane level. Experimental systems will include 2D cell culture, organoid models, and advanced biophysical assays (e.g., high-throughput atomic force microscopy