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between moisture uptake, glass transition temperature (Tg), and material performance, Development of predictive durability and service-life models for infrastructure applications including rehabilitation
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to cardiovascular risk in Psoriasis and Psoriatic Arthritis: Biomarkers and New predictive tools”, with identification code PI-0226-2025, within IMIBIC research group GC05 “Chronic systemic autoimmune-inflammatory
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about applying deep learning to decode the regulatory grammar of plant genomes and translating predictions into testable biological hypotheses, we invite you to join the Omics Data Analysis and
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paired with computational biology and machine learning to develop predictive AI models of how cells interpret and respond to the surrounding extracellular matrix. Required Qualifications: We are looking
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Challenge: Predict long-term cardiac growth and remodeling in cardiovascular disease. Change: Develop multi-scale mechanobiological models for virtual human twins. Impact: Advance patient-specific
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 15 hours ago
Organization National Energy Technology Laboratory (NETL) Reference Code NETL-FRP-2026-Gao How to Apply A complete application consists of: An application, including academic history, work history
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Preharvest sprouting (PHS) and the resulting discounts have been a problem in the heart of the Hard Red
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Job Code: 06/2026 Job Offer from June 29, 2026 The Max Planck Institute for Biogeochemistry (MPI-BGC) in Jena is dedicated to interdisciplinary fundamental research in the field of Earth system
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contribute to our ongoing projects, specifically on development of nanoparticles with predictable interactions with biomolecules and understanding nanoparticles behaviour in biologically relevant environments
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modern AI/ML methods to protein and cellular biology, including protein structure prediction, protein–protein and small-molecule–protein docking, cell state prediction from large-scale Perturb-seq datasets