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Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau | Landau in der Pfalz, Rheinland Pfalz | Germany | 3 days ago
candidate should represent the field in research and teaching. The new colleague's potential research focus should be on the theory and analysis of the structure and dynamics of environmental systems from
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Your Job: In the Vi(MA)²C project, we are building a lab-on-chip system where structured “microbial arenas” are created and manipulated in real time. Microbes and tailor-made microgels are observed
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of publications, overview of teaching experience and third-party funding, as well as a research and teaching concept) and the structured application form (https://www.uni-regensburg.de/biologie-vorklinische-medizin
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Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf | Germany | about 11 hours ago
for de Novo Protein Design. Your tasks Design of generative AI models (e.g., VAEs, GANs, Diffusion Models) to create novel protein sequences, fold structures, and functional molecules Engage with our
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. Only online applications will be accepted. AVAILABLE PROJECTS: Nanoscience: Application of bistable DNA devices Biophysics: Learning in living adaptive networks Biophysics: High-resolution structural
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networks are rewired in response to physiological or pathophysiological stimuli. The project will be conducted jointly with the 'Structural Interactomics Group' led by Prof. Fan Liu (https
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The research group Genomics of Genetic Resources (GGR) research focus is on small grain cereal genome analysis including aspects of structural, comparative and epigenomics mainly in the context
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. Only online applications will be accepted. AVAILABLE PROJECTS: Nanoscience: Application of bistable DNA devices Biophysics: Learning in living adaptive networks Biophysics: High-resolution structural
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15 Jan 2026 Job Information Organisation/Company University of Stuttgart Department Institute of Building Structures and Structural Design Research Field Biological sciences » Biological engineering
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-funded AI research group “Fusing Deep Learning and Statistics towards Understanding Structured Biomedical Data (DeSBi)” development of deep neural networks and machine learning algorithms for the analysis