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that aims to redesign how students learn programming through AI-driven, dialogue based, and pedagogically grounded tools. The PhD candidate will contribute to a cross-faculty collaboration spanning the TECH
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machine-learning algorithms, and with lightning-fast Maxwell solvers for scattering simulations. You will not only work on the 3-D models in theory; you will also be trained in operating advanced microscopy
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-physical systems secure and resilient in the presence of uncertainty and cyber-physical attacks? Then you may be our next PhD candidate in resilient and learning-based control of cyber-physical systems
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The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we are seeking a highly talented and motivated PhD student within the field
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Job Description The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we are seeking a highly talented and motivated PhD student
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Job Description If you are interested in advancing a career at the interface of polymer chemistry and biology, this could be the opportunity you are looking for. Nanosmithery at DTU Health Tech
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? No Offer Description About cellumation cellumation is a Bremen-based deep-tech company and spin-off from the Bremen Institute of Production and Logistics (BIBA). We develop the celluveyor – a modular
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at building a competitive and capable workforce that will drive the growth of the Australian tech sector. With our program, the NGGP grants will fund a first cohort of 25 higher degree research (HDR) student
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for translational biocatalysis, addressing critical needs in the development of sustainable biotechnologies. The programme will equip PhD students with advanced expertise in enzyme science, machine learning, enzyme
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and complex terrains. To enable this vision, this position targets generalizable, learning-based frameworks for dexterous robotic manipulation that are robust to environmental variability and