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career in the biopharmaceutical industry. Additional Information: This position is part of Lilly’s post-doctoral training program, which provides an exceptional environment and the opportunity
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physics, exploring quantum-informed architectures, reinforcement learning, and robotic intelligence to create autonomous “AI scientists” and pathways toward general intelligence. (3) Quantum Information
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the development of AI/ML/NLP algorithms for clinical applications. Annotates medical notes and datasets to facilitate training and validation of predictive models. Collaborates with data scientists
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general, and particularly the network of ecosystem restoration scientists collaborating on this project. Analyzing data on ecosystem restoration and synthesizing secondary data and information to produce
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | 2 months ago
, entrepreneurship, leadership, and data science. Special training for writing successful ERC Starting Grants as a ‘ticket’ to an outstanding academic career. Being part of a thriving academic and social community in
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, data scientists, bioinformaticians, and international consortium partners. Required qualifications The ideal candidate should have: A PhD in computational biology, bioinformatics, computer science, data
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22 Jul 2026 Job Information Organisation/Company University of Twente (UT) Research Field Engineering » Biomedical engineering Engineering » Computer engineering Researcher Profile Recognised
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analyses within this large-scale field experiment, working closely with an international consortium of health economists, clinicians and implementation scientists. Join us to help generate the evidence
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twins of patients, modeling disease biology across scales—from genome to cell to circuit—to enable proactive, personalized intervention. By combining large-scale human data (genomes, single-cell and
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resilience for mental health outcomes. This is an opportunity for scientists who want to do more than apply established tools to familiar questions. The lab is interested in building a deeper framework for