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screening and characterization to generate and validate novel enzymes with tailored specificities. Under the joint supervision of Assoc. Prof. Birgitte Zeuner and Assoc. Prof. Timothy P. Jenkins, the PhD will
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-world medical applications? Do you want to design next-generation protein therapeutics using cutting-edge generative models and validate them in the lab? Join a collaborative PhD project at DTU
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We invite applications for a fully funded 3-year PhD position focused on developing next-generation robotic grippers for biological laboratories. The project combines advances in multi-material 3D
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) or a similar degree with an academic level equivalent to a two-year master's degree in bioinformatics, computational biology, evolutionary genomics, or a related field Proficiency in programming
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Computer Science Faculty of SCIENCE University of Copenhagen Human Centred Computing Section invites applicants for a PhD fellowship in Computer Supported Cooperative Work (CSCW) in the project Novel
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of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a
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materials. This will be done in collaboration with Prof. Dominik Bucher at the Technical University of Munich, and you will be spending 2-6 months in his laboratory. Responsibilities and qualifications
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requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Prof. Piotr de Silva and Prof. Juan
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be undertaken by
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proficiency in relevant programming languages (e.g., Python, C++) and tools such as ROS. Experience in simulation and digital twins, as well as the use of synthetic data for training machine learning models, is