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PhD Scholarships in Piezophotoacoustic Technology for Minimally Invasive Endoscopy - DTU Health Tech
piezoelectric materials and transducers combined with photoacoustic technology. The technology will be based on single optical fibers and bundles of fibers, where the acoustic generation is mainly photoacoustic
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. Daniel Merkle. The overall research project is based on the novel application of formalisms, algorithms, and computational methods from computer science to the design of microbial communities, ultimately
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The Department of Mathematics and Computer Science at the University of Southern Denmark, Vejle, invites applicantions for PhD positions with a focus on Software Architectures and Mining Software
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Participating in the CRC 1450 graduate school and presenting research findings at internal meetings and international conferences REQUIREMENTS: A Master’s degree in Physics, Computer Science, Biomedical Imaging
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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analysis Background in biomedicine and digital pathology What we offer Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within
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and/or wet lab experience a candidate with (or obtaining by January 2026) a final degree in medicine, biology, chemistry, bioinformatics, computer science or a related scientific or technical field
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We invite applications for a four-year PhD position in the field of Organic Electronics, with a focus on the development of a novel light-emission technology, termed the light-emitting
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complete) an M.Sc. (or equivalent) in Computer Science or a related discipline ML expertise: You have strong programming and deep learning experience (e.g., PyTorch, TensorFlow), backed by a substantial