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low-level programming (C# and possibly C++) languages An ability to collaborate within teams and across disciplines An ability to take initiative, develop and manage research activities An ability
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PhD degree in Computer Science, Physics or a related field Experience with parallel programming models Strong programming skills in C/C++ and/or Python Knowledge of distributed memory programming with
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. Demonstrated skills in Python programming, or other computer programming. Strong interest in data science, such as data collection and curation, modelling. Excellent written and oral English communication skills
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interdisciplinary, and together we contribute to science and society. Your role We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning
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for the research-based public sector consultancy and degree programs covering bachelor’s, master’s and PhD degree programs within animal science and veterinary medicine. We offer a lively, engaged and innovative
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natural sciences Experience with scientific programming and Unix operating systems Experience with various programming languages, including C++, Python and Matlab Ability to work with large datasets
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innovative strategies to improve human health. HT is composed of five Centers: Health Data Science, Genomics, Computational Biology, Neurogenomics and Structural Biology. The Centers work together to enable
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practice or other forms of appointment/assignment relevant to the subject area. The successful candidate must hold a PhD in one of the following fields: mathematics, physics, computational science, or
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scientific organisation. With around 1,200 employees as well as ca. 500 guest researchers, we contribute to the Helmholtz Research Field Earth and Environment, aligning cutting-edge research with societal
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program offers a collaborative, multidisciplinary team environment, endowed with a comprehensive support infrastructure. Details regarding the WCM-Q research program and facilities can be accessed at https