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Field
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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for a Post-Doctoral Fellow to study stem cell biology in colitis and lymphoblastic leukemia using state-of-the-art techniques such as 3D platform and respective animal models; and dissecting the molecular
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& Molecular Biophysics , home to a diverse array of structural and cellular biology research, which is part of the School of Basic & Biomedical Sciences . We sit in the Faculty of Life Sciences & Medicine
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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. • Strong background in molecular and cellular biology methodologies. • Familiarity with gene editing technology. • Ability to perform and analyze flow cytometry • Experience working with mouse models
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CENTD, a multidisciplinary center studying molecular targets of inflammatory diseases, isoffering a postdoctoral position for 12 months. The project aims to identify and validate newpharmacological
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trials (e.g., diet, FMT), and ex vivo gut models enabling advanced multi-omics analyses of these samples. In addition the lab also maintains a large culture collection, partially linked to genomic data
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, alongside strong skills in protein analysis, molecular biology, and imaging techniques. Additional expertise in studying autophagy and using preclinical mouse models of cardiovascular disease are highly
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for pediatric diseases. Our research focuses on how genetic variants contribute to diseases during early development and on developing mechanism-driven therapeutics. While animal models have advanced our
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of biological questions and experimental systems – from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and