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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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with experience in ligand discovery. Our research group is focused on developing state-of-the-art computational methods for ligand/drug discovery, using machine learning, high-performance/cloud computing
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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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employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human
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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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Professor, or Full Professor) in the area of data science and artificial intelligence for materials design and innovation. We seek candidates whose research focuses on the development of 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
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organizational skills, time management skills, and attention to detail. Proactive and self-motivated mindset with an eagerness to learn and grow Excellent computer skills with demonstrated proficiency in Microsoft
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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