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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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within the biogeochemical ocean model ERGOM (https://ergom.net ). The candidate will utilize the Code Generation Tool (CGT, https://ergom.net/code-generation-tool.html ) and actively participate in ongoing
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geoscientific discipline with pronounced physical-mathematical components. Evidence of very good English language skills is required. The ability to work scientifically independently in an interdisciplinary team
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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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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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scaling and generalization behavior Roll out the model to the global user community Requirements PhD or MSc in computer science, physics, mathematics or a related discipline Experience with large-scale HPC
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of multi-species communities using theoretical modeling approaches. The candidate will focus on developing a mathematical model (e.g., preferably individual-based models) from basic equations to investigate
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' prognosis or treatment decisions. For modeling, we use both public and proprietary clinical and research data greatly enriched by our own repository of digital pathology images. A further focus lies on
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`s degree and PhD in quantum physics, computer science, electrical engineering, mathematics or a related field Experience in quantum computer programming Experience in applying numerical methods and
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, Mathematics, Physics, or similar fields Broad interest in scientific topics Good knowledge of AI and applied Machine Learning Practical experience with High Performance Computing Systems as well as parallel