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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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Application deadline: 05.10.2025 Tasks To perform an independent experimental or computational PhD project in the fields of neuroscience, biochemistry, ophthalmology, and / or datascience. Profile Completed
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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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of IAI mechanisms and develop innovative antibacterial biomaterials to improve patient outcomes. Structured around three core scientific pillars—regenerative medicine, biomaterial science, and
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. For TUD, diversity is an essential feature and a
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
data science, bioinformatics, protein design, biochemistry, mass spectrometry, cell biology, molecular biology, genetic engineering, medicine or related fields. The successful candidate will join a
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Systems. For this, we apply a combination of methods from both Physics and Mathematics, complemented by concepts from Theoretical Computer Science. Our research group is located jointly at the Faculty
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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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across a broad spectrum of sciences. The Faculty of Medicine, Institute of Pharmacology, research group of Prof. Dr. Thomas Worzfeld, is currently accepting applications for a PhD in Neuroepithelial
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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