154 programming-languages-"the"-"Humboldt-Stiftung-Foundation" Postdoctoral positions at Nature Careers
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of six Strategic Research Programs: Data Science for Tires, Tire as a Sensor, End-of-Life Tire Valorization, Sustainable Materials for Non-Pneumatic Tires, Sustainable Materials for Next Generation of
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and independently plan scientific research, as well as collaborate with other project members. Excellent proficiency in English, both oral and written. Meriting Qualifications: Experience in
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, international environment. Excellent spoken and written English (our working language). We offerPositions are available from fall 2025 (negotiable) with an internationally competitive salary and benefits
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
, mathematics, and data science. Collaborative projects merge traditional geographic research with advanced computational methods such as graph neural networks (GNNs) and large language models (LLMs) to explore
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and clinical translation. Supported by the Carl Zeiss Foundation , an ERC Starting Grant , and the DFG Emmy Noether Program, our lab provides a highly collaborative and interdisciplinary environment
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Strategy of the German Government. The Department for Nucleic Acid Immunity & Genome Defense at the Institute of Clinical Chemistry and Clinical Pharmacology at the Faculty of Medicine of the Rheinische
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with experience in One Health or climate-health research. Proficiency in systematic reviews, survey methods, and/or causal inference is essential, along with programming skills (e.g., in R or Python
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oriented, organization, and capacity to work as part of an international team, in an interdisciplinary environment. Language skills · Good level in both written and spoken English Your LIST benefits
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motivated with an interest to work in an interdisciplinary team spanning machine learning, bioinformatics, and medicine Strong English language skills to communicate and collaborate in our diverse work
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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