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presentations Your Profile: • Master's degree (or equivalent) in immunology, biology, molecular biology, or a related field • Prior experience with flow cytometry, immunological assays, or molecular biology
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proteins from renewable feedstocks and waste streams. We aim to develop sustainable processes to convert these materials into high-performance fibers and functional materials. By manipulating molecular
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in molecular diffusion rates rather than equilibrium adsorption, using a novel temperature-perturbation method in a MOF layer. For a pre-print paper describing this novel (and patented) approach, see
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Master's degree / PhD programme Yes Joint degree / double degree programme No Description/content The Heidelberg Biosciences International Graduate School (HBIGS) focuses on the highly dynamic research areas
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. The outstanding research projects analysing the molecular, cellular and organismal basis of infections and immune reactions in our graduate school programme are supported by a flexible curriculum structure
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laboratories and Institute are well equipped in methods for nanomedicine preparation and characterization, cell culture and methods in molecular and cell biology to characterize, and quantify nanomedicine
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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or stress-induced conditions is vital for uncovering how cells adapt to challenging environments. This project will focus on investigating the molecular mechanisms behind ribosome maturation in bacteria and
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at the point of commencing this post, with experience in contemporary molecular cell biology, tumour metabolism, experimental modelling and bioinformatics as applied to translational cancer genomics, ideally