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Faculty of Health and Medical Sciences University of Copenhagen We are looking for two highly motivated and dynamic computational postdocs to join the group of Prof. Ana Cvejic from the 1st of June
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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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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
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(2023)). Work at these facilities will be combined with research in our state of the art femtosecond laser labs. Your profile Applicants should hold a PhD in Physics or Chemistry or related field
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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
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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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Job Description The Center for Energy Resources Engineering (CERE) within the Department of Chemical and Biochemical Engineering (DTU Chemical Engineering) of the Technical University of Denmark
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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by the Danish EUDP project “RePower-HPC.” Future AI and high-performance computing (HPC) systems demand unprecedented power levels driven by massive data processing. A key challenge is enabling