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Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf | Germany | 3 days 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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, underwater gliders, micro-AUVs, and ship-based sampling), remote sensing products, and high-resolution numerical models. The work will improve understanding of coastal ecosystem variability, support better
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The Copenhagen Center for Social Data Science (SODAS), Faculty of Social Sciences, University of Copenhagen (UCPH), invites candidates for a postdoctoral position in modeling and simulation
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remains poorly understood. The objective of this PhD is to characterize and model the biomechanical consequences of menopausal tissue remodeling in five pelvic-related soft tissues: skin, fascia, muscle
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, the Engineer will architect, engineer, and deploy AI pipelines that push technological boundaries for our clients. The Engineer will tackle complex challenges at the intersection of Large Language Models
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research and teaching will use spatial data and modelling to explore alternative futures of land use at local, European and global scales. You will show policy makers and different stakeholder groups
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“exploring sensory physiology in non-standard vertebrate models”. The scholarship is full-time for two years with access in spring 2026 or as agreed. We work on sensory biology and mechanotransduction
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE E TECNOLOGIE AGRO-ALIMENTARI | Italy | 1 day ago
effective technical, managerial, and natural barriers to ensure safe and sustainable reuse; • development of Risk Management Plan models and simplified operational guidelines, integrated with nature-based
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, including renewable energy sources and energy storage systems.Development of predictive models and soft sensors for monitoring the technical condition and operational parameters of energy infrastructure (e.g
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traditional predictive attempts and limits the availability of training data for high-resolution atmospheric and hydrological models. This limitation is compounded by the fact that many atmospheric reanalysis