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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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researcher in the field of molecular quenching strategies for photoelectrochemical biosensing. This PhD project aims to fundamentally explore the quenching dynamics of photosensitizers by various compounds and
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complex, involving multiple senders and receivers interacting simultaneously within a dynamic network. Social groups also exhibit preferred and avoided associations, creating heterogeneous social structures
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tasks for the position The candidate will pursue research on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case of molecular data in cancer
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on forests and forestry as complex socio-ecological systems. We closely collaborate with multiple stakeholders and conduct applied research in silviculture, forest ecology, pathology, policy and planning. We
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of molecular pharmacology, biochemical, and cellular assays to discover new small molecule and antibody-based prototype drugs. SciLifeLab DDD maintains a semi-industrial environment within the universities where
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chemistry, theoretical chemistry, molecular dynamics, data science, and machine learning are beneficial. What we offer: We offer a position with a competitive salary in one of Germany’s most attractive
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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the Novo Nordisk Foundation, that will drive research and innovations at multiple levels - from developing scalable quantum processor technologies to solutions for the quantum-classical control and readout
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the Laboratory for Molecular Infection Medicine Sweden (MIMS), and have the chance to use the multiple facilities (e.g., NMR, metabolomics, protein expression, cryoEM) for a successful PhD. In