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strong computational–experimental feedback loop central to the project. Subject description Recent breakthroughs in deep learning–powered protein design, recognized by the 2024 Nobel Prize in Chemistry
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. The primary objective is to develop computational methods, using deep learning–based protein design, for the successful design of 2D lattices. These methods will then be applied to generate designs targeted
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: The first project, Dual Control at Scale: Learning-based control for systems with millions of states, is funded by an ERC Advanced Grant, a prestigious international grant aimed to give long term support for
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teaching and learning. The work duties include: The post-doctoral fellow will investigate how stellar and geomagnetic information is sensed and processed by the Australian Bogong moth Agrotis infusa, a model
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learning. The purpose of the position is to develop independence as a researcher and to create the opportunity of further development. Detailed description of the work duties, such as: Conduct high-fidelity
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weeks of training in higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. Detailed
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learning. The centre offers a lively academic environment where colleagues from many parts of the world come together: doctoral students, postdocs, lecturers, and researchers work here in an open
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and learning. Research project description – Elucidating the mechanism of triose phosphate isomerase Dr. Esko Oksanen is an expert researcher at the Division of Computational Chemistry and an Instrument
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hours. The position shall include the opportunity for three weeks of training in higher education teaching and learning. Detailed description of the work duties, such as: Research within the subject area
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hours. The position shall include the opportunity for three weeks of training in higher education teaching and learning. Detailed description of the work duties, such as: Research within the subject area