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international staff office (ISO) and the department The Department of Molecular Medicine (IMM) IMM aims to generate new knowledge on the function of the human body and disease mechanisms, thereby contributing
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preferably applied to robotic manipulators controlled with visual feedback. The candidate is hence expected to have most of the following qualifications: Expert knowledge in the control of robots Experience in
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to monitor protein-protein interactions and prior knowledge of these is an advantage. Your profile The applicant must have a relevant PhD in structural biology or protein biochemistry. Who we are The postdoc
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. Knowing Chisel is a bonus. Knowledge of real-time systems System programming in C We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation
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. DTU Civil and Mechanical Engineering develops and utilizes science and technical knowledge for the benefit of society and sustainable development. We undertake research, education, innovation, and
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computing environments. An established or emerging publication record in NLP, ML, or related fields. Excellent written and oral communication skills in English. Knowledge of Danish or another Nordic language
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complex experiments, including timelines, resource management, and troubleshooting. Skills in histology, microCT, microscopy (e.g., confocal, fluorescence) and optionally microbiology. Knowledge and
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twisting techniques. This postdoc fellowship will build on this knowledge to explore and realize new properties in oxide membranes within complex oxide thin films. The position offered is part of the ERC
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for the position. Knowledge of TSN or real-time networking. Experience with one or more of: combinatorial optimization algorithms, ML algorithms, timing analysis network calculus, real-time systems. Excellent
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, networking, cybersecurity, or a related area relevant for the position. Solid knowledge of system security. Experience with real-time systems and/or safety-critical systems is a plus. Proven research skills