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(e.g., GIS, system dynamics, statistical programming) #strong knowledge of qualitative methods in empirical social research #experience working in interdisciplinary and international research projects is
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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 | 26 days 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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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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Strategy of the German Government. The position is to be filled as soon as possible on a project-limited basis for a duration 2 years and funded by the European Research Council. Postdoctoral fellow (m/w/d
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, proactivity in team settings, knowledge sharing. Language skills · Fluency in English (and French), both oral and written. Other relevant languages are considered to be an asset. Your LIST benefits
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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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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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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