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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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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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years of full time with no teaching obligations, and there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD-program in Ecology within three months of accession in
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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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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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plasticity in intestinal regeneration and cancer to contribute to the preparation of scientific publications and presentations to contribute to teaching in Biomedical Sciences (Master programme) Profile: M.Sc
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). The METAMIC 3 project will embed Doctoral Candidates (DCs) in a unique training environment to advance microbiome science through metaproteomics. The program addresses One Health challenges by integrating
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Charles Sturt University’s AI and Cyber Futures Institute (AICF), a cutting-edge research institute of excellence in data science, artificial intelligence, and cyber security, is poised to showcase
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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