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considered an advantage if you have: Experience with protein language models (e.g., ESM, ProtT5) Experience with structure prediction frameworks Experience in geometric deep learning or graph neural networks
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considered an advantage if you have: Experience with protein language models (e.g., ESM, ProtT5) Experience with structure prediction frameworks Experience in geometric deep learning or graph neural networks
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environment such as Python, MATLAB, or R. Good understanding of hydrodynamic loading and wave–current environments (e.g., wave kinematics, high-order wave theories) would be highly regarded. Familiarity with
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computational datasets of disordered materials based on density functional theory calculations and training machine learning models to accelerate the predictions. This work will involve collaboration with Assoc
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Job Description We are searching for a talented and motivated PostDoc to develop the theory of quantum light sources for applications in optical quantum computers. The project takes place in
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We are seeking applicants for a 2-year postdoc in Ultrafast X-ray probes of Quantum Materials to join us at the Department of Physics and Astronomy. Starting Date and Period The position is for 2 years and is available from August 1st or as soon as possible hereafter. There is the possibility of...
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The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Biotechnology Research Institute for the Green Transiation (BRIGHT) is developing novel methods to engineer proteins more effectively using state-of-the-art experimental and computational approaches. Our mission is...
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conducted on qualified candidates for the position. DTU Compute DTU Compute – Department of Mathematics and Computer Science – is an internationally recognised academic environment with over 400 employees and
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intelligence while preserving human agency. The group’s research spans mechatronic system design, system modeling and learning, control theory, and system supervision, with applications across domains including
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
Forrai (Department of Culture and Language), specialists in medieval literature and with Tariq Yousef and Stefan Janicke (Department of Mathematics and Data Science), specialists in NLP and data