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Steven Ludeke to discuss their expected degree timeline. Highly proficient in at least one statistical programming language (e.g., R, Stata, SAS, Python). Candidates that can show an aptitude for learning
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of Matlab or a similar programming language Very good command of the English language in spoken and written form Research experience as evidenced by conference contributions and peer-reviewed journal articles
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Good command of Matlab or a similar programming language Very good command of the English language in spoken and written form Research experience as evidenced by conference contributions and peer
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well as the residency programs and clinical training of Humanitas University, an international Medical School that stands out for its real-world simulation-based approach to medical training. Humanitas Research is made
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“Research for a life without cancer" is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look for new cancer prevention
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retinal tissue biopsy. The project is funded by the Emmy Noether programme of the German Research Foundation (DFG) for a three-year period, with the possibility of an additional three years. We offer: a
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an attractive and inspiring working environment with dedicated and highly skilled people. There is a formalized teaching program dedicated to methodological aspects of pharmacoepidemiological research. As a
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learning (AI/ML) being a major focus. Many of the laboratory's interests center around the identification of small molecules using mass spectrometry data, and the use of language models to predict
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' datasets - genomics transcriptomics, and proteomics Proficiency in R, Python, and other programming languages Expertise in Linux, Git, Docker, and other high-performance computing environments Excellent
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
HIFMB contributes to one of the Helmholtz Research Programs (currently ‘Changing Earth – Sustaining our Future’) as part of a particular topic (6, Marine and Polar Life). The cohort work will directly