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for therapeutic gain. Specific areas of interest include, but are not limited to: • Machine learning applied to immunological challenges, such as modeling immune responses, antigen specificity, or cellular
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, etc.), and data-driven methods (optimisation, generative AI, agent-based modelling, machine learning). Our work provides decision support for policy makers, industry stakeholders, and researchers by
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tissue specimens Assemble analysis pipelines using machine learning to process tissue data reproducibly and at scale Conduct analyses using programming languages such as R and Python Collaborate with other
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Molecular Biology, University of Southern Denmark, Odense, Denmark The position is for 3 years and is available from February 1, 2026. Role and Responsibilities Use protein design concepts and deep-learning
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uses long timescale molecular dynamics (MD) simulations, integrated with experimental observables (especially cryo-electron microscopy data), and machine learning tools to better capture the dynamics
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paradigms, and computational modeling. More information about the lab and their work can be found by visiting https://sarvestanilab.com/ About the Role: We are seeking a Research Technician (RT) to join our
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, solar cells and novel optical materials 8) Renewable energy solutions, novel batteries, carbon neutrality approaches 9) Computational chemistry, theoretical chemistry, machine learning, artificial
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, high-reward science, including lab space at Arc Headquarters in Palo Alto. Candidates who aspire to groundbreaking research in computational science/machine learning, chemical biology, human genetics
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, Electrical Engineering, Aerospace Engineering or a related field, with a focus on Robotic Perception and learning based methods Demonstrated expertise in at least one of the following areas: Machine Learning
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, biochemistry, cancer biology, immunology, tissue engineering, AI and machine learning. Applicants should be motivated to establish extramurally funded research programs targeted at biomedical science advances