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available in the further tabs (e.g. “Application requirements”). Programme Description The programme is intended for highly qualified scientists and scholars of all disciplines from selected developing
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for multimodal inferences, combining computer-vision, environmental parameter measures and DNA data. Your role will be central in data acquisition and foremost machine-learning models creation. You will
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English Languages Courses are usually held in English. The dissertation is written in English. Mode of study Less than 50% online Programme duration 6 semesters Beginning Only for doctoral programmes: any
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experimental planning, bioinformatic consulting, and in-depth data interpretation, where applicable Your qualifications Master’s degree or PhD in Bioinformatics, Computer Science, Applied Statistics, or a
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an interdisciplinary framework as part of a joint research program. What will be your tasks? We are seeking a highly motivated candidate to join the newly established Collaborative Research Centre “Carbon Sequestration
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or becoming an engineer. We support you in this process! The scientific work will be carried out in the business unit Next Generation Computing at Fraunhofer IPMS in Dresden. The examination takes place via
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of Veterinary Medicine Hannover, Helmholtz Centre for Infection Research, Braunschweig Teaching language English Languages Courses are held in English only. Full-time / part-time full-time Programme duration 6
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automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable
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, RNA seq, single cell sequencing, spatial transcriptomics), bioinformatics tools and human studies. Your profile: PhD in bioinformatics, oncology or computational biology profound experience in system
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, their achievements and productivity to the success of the whole institution. At the Faculty of Mathematics, Institute of Scientific Computing, within the Dresden Center for Computational Materials Science (DCMS