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, and drug discovery? We are excited to offer a PhD position tailored for a motivated candidate eager to push the boundaries of structure-based drug design using cutting-edge machine learning techniques
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PhD Project in Bacteria-Phage interaction Department of Biology Faculty of SCIENCE University of Copenhagen Department of Biology, Section of Microbiology invites applicants for a PhD fellowship in
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Grant Arts PhD Fieldwork Grant Application is required. Check eligibility Key scholarship details Application status Open for applications Applications open 1 Jan 2025 Applications close 31 Jan 2026
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), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
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, visiting researcher opportunities, access to modern GPU clusters for deep learning research, and strong academic-industry connections. CADIA's commitment to open science aligns perfectly with this project's
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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
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sustainability goals whilst improving operational efficiency? This PhD studentship will involve developing machine learning models, creating virtual manufacturing replicas, and implementing optimisation algorithms
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substrates while advancing our understanding of deep learning through dynamical systems theory. You will work with two cutting-edge experimental systems: (1) light-controlled active particle ensembles
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platform. Initially, a black box deep learning approach will be implemented. However, due to the need for robustness, transparency, and explainability (e.g. for quality control across sectors), the research
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reducing demand. However, demand drivers are manifold, including technology advancements, population and economic trends, and their future developments come with deep uncertainties. Infrastructure policies