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biomedical sciences. What You Can Expect: We offer a diverse and stimulating range of tasks in the field of big data analysis, where you will develop and apply advanced computational methods to analyze complex
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disciplines (typically mathematics, physics). For Postdocapplicants: Excellent track recordin computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one
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Fraunhofer IOSB. You will be part of a large, interdisciplinary team from the fields of production engineering and computer science and will explore fundamentally new approaches in seven sub-projects to make
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of Physical Geography. The applicant is expected (1) to use the provided research time to apply for third party funds (e.g., DFG, BMBF, ERC) in order to finance and to build up an own research group after
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leveraging probabilistic models of pragmatic language use and interpretation. This work involves philosophical / linguistic analysis, experiments with human participants, and mathematical / statistical
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teaching and curriculum development. Your qualifications PhD in computer science, data science, applied mathematics, physics, or a related field. Strong expertise in machine learning and deep learning
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, computer science, electrical engineering, mathematics or a related field Experience in quantum computer programming Experience in applying numerical methods and algorithms, preferably in the domain of QC, such as
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master's degree (or equivalent diploma) and a PhD in meteorology, oceanography, or a related natural or geoscientific discipline with significant physical and mathematical components. It is essential
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in physics, mathematics or any related field; correspondingly, Postdocs hold a PhD or equivalent degree in the abovementioned fields. What we offer State of the art on-site high performance/GPU compute
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Leibniz University Hannover, Faculty of Mathematics and Physics Position ID: LUH_MAPHY -ALGGEOMERC25 [#25829] Position Title: Position Type: Postdoctoral Position Location: Hannover, Lower Saxony