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-cell sequencing) Prior experience working with spatial biology approaches, and early-adoption of cutting-edge technologies Prior experience working with Linux and high performance clusters (HPC) R/Python
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publications in international journals. As a successful candidate, we will expect you to shape, perform and present your research independently and work individually as well as in teams. OUR OFFER Exciting
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journals. As a successful candidate, we will expect you to shape, perform and present your research independently and work individually as well as in teams. OUR OFFER Exciting research project at a
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Methodological competence: Strong programming skills, ideally including experience in deep learning and/or high-performance computing Passion for method development Very good English communication skills – both
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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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ecosystem models. Experience using high-performance computing systems. Proficiency in running numerical ocean models. Familiarity with operating systems such as Linux/Unix and proficiency in shell scripting
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care, in an exciting, interdisciplinary field. Access to large-scale, high-quality pathology datasets and cutting-edge computing infrastructure. Collaboration with renowned scientists, pathologists, and
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differentiation protocols for iPSC perform CRISPR-based genome editing and molecular biology experiments develop and optimize high-throughput sequencing techniques work with a substantial amount of multi-Omics data
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independent policy advice on all aspects relating to the structure and functioning of the financial system. It aims to contribute to strengthening a sustainable and resilient financial system that drives
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that algorithmic parameters are tuned so that the over-approximation of the computed reachable set is small enough to verify a given specification. We will demonstrate our approach not only on ARCH benchmarks, but