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The Manager Computational Sciences will lead projects and teams within a Computational Sciences area. This position will monitor and manage the coordination of activities within a team and will
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of the moving sources, and directionality of the DAS measurements, make the use of machine learning techniques very appealing. The doctoral student will propose deep learning methods for source separation of DAS
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computational chemistry and materials science, with a focus on the use and development of computational and machine learning methods, who has a critical eye, a deep understanding of their subject and interests
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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- Participatory Methods for Impact chain assessment and backcasting Reference code: 50139757_2 Commencement date: August 1st, 2025 Work location: Hamburg Application deadline: 04.06.2025 The Climate Service Center
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The research group of Oliver Stegle looks for a postdoctoral researcher to join a collaborative project with GSK with the goal to apply computational methods to investigate the effects of rare
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We seek a highly motivated Computational Scientist (m/f/d) for Cancer Antigen Discovery to join our Computational Genomics unit. We are an interdisciplinary team of scientists, PhD students, and
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We are recruiting highly motivated individuals, committed to clinical excellence, to join our growing Hospitalist Medicine Program as a member of the clinical faculty. The rapidly expanding
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encouragement to advance and grow their careers. Job Overview The Program Administrator - Research Integrity reports to the Senior Program Manager, Research Integrity and plays an important role in supporting
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The newly established Program for Memory Longevity (PML), led by Attila Losonczy, MD, PhD, in the O’Donnell Brain Institute (OBI) and the Department of Neuroscience at the University of Texas