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applying machine learning and computational methods for protein design, in close integration with experimental enzymology and biocatalysis. The tasks include: Development and application of AI and machine
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project has a strong focus on developing and applying machine learning and computational methods for protein design, in close integration with experimental enzymology and biocatalysis. The tasks include
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asynchronously in different global, human-centric labs. You will be based within Dr. Pizzuto¿s group at the University of Liverpool, situated in the state-of-the-art Digital Innovation Facility and the School
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 8 days ago
at the Centre Inria de l'Université de Lille in the Scool team. He or she will be in contact with experts of sequential decision making. The candidate will study different research questions related
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genome-based influenza and/or SARS-CoV-2 risk assessment algorithms, designing broadly protective influenza and SARS-CoV-2 vaccines using Machine Learning and Artificial Intelligence, modeling the impacts
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dedicated to developing sustainable polymers and materials via visible-light-driven processes. The core focus of this role is the design and synthesis of novel, recyclable polymeric materials using low energy
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11 Apr 2026 Job Information Organisation/Company AMOLF Research Field Engineering » Design engineering Engineering » Microengineering Physics » Applied physics Physics » Optics Researcher Profile
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county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service. Click here to learn more about
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research, and justice-based technology design frameworks. Depending on interest and goals, the candidate may also co-teach or lead one or more sections of an undergraduate course in the ECS department, with
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arboviruses (e.g. dengue, zika), where we investigate how host-virus dynamics affect outcomes in different tissues. By combining computational systems biology with rigorous experimental virology, we transform