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Field
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FieldMathematicsEducation LevelMaster Degree or equivalent Additional Information Work Location(s) Number of offers available1Company/Institute Institute of Mathematics and Computer ScienceCountryGermanyCityGreifswaldPostal
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-supervised by a bioinformatics-focused and a biology-focused PI. A Master’s degree or equivalent in natural or computer sciences with excellent marksand a very strong experience in single-cell sequencing
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machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement tasks to work with
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-computing hardware Work in an interdisciplinary team of engineers, computer scientists, and life scientists Regularly participate in international conferences to present your own work, and learn about state
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 4 hours ago
information on BTU scholarship opportunities on our websites: https://www.b-tu.de/en/international/international-students/help-advice-on-all-aspects-of-studying/scholarships-1 . Academic admission requirements
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to all other programmes in Hannover Biomedical Research School. https://www.mhh.de/hbrs International elements International guest lecturers Specialist literature in other languages Language training
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for an interdisciplinary “bridge-builder” who strives for Scientific Excellence and Real-World Purpose. ● Background: HCI (Human-Computer Interaction), Computer Science, Ethnography, Sociology, or a related
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Degree Dr rer nat Course location Münster Teaching language English Languages English only Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline https
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planning and execution architecture for information-driven experiment steering (closed-loop control) Work in an interdisciplinary team of engineers, computer scientists, and life scientists Present your work
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the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement tasks to work