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Disease Modeling Lab (https://dbe.unibas.ch/en/research/data-driven-modelling-analysis/pediatric-disease-modeling-lab/) is seeking a Data and Computing Technician to build and maintain the data and
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particles, air pollution, exposure science, environmental measurements, or pollutant modelling; A strong aptitude for experimental and/or computational research; Experience with quantitative data
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Mathematics and Computer Science (DMI). This position strengthens the long-term research and teaching profile of the department at the intersection of distributed systems, data science, and machine
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needs through innovative biomedical research and engineering solutions, translating basic science into medical knowledge and healthcare innovations. The Pediatric Disease Modeling Lab (https
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science into medical knowledge and healthcare innovations. The Pediatric Disease Modeling Lab (https://dbe.unibas.ch/en/research/data-driven-modelling-analysis/pediatric-disease-modeling-lab/) is seeking a
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Birmensdorf ZH, Kanton Zürich | Switzerland | 8 days ago
Python), statistics, risk assessments, and data science. A good publication record with respect to your career stage and research interests in climate change and hydrology complete your profile. We
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Field Computer science Years of Research Experience 4 - 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available 1 Company
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( https://duw.unibas.ch/en/ecoevo/ ), is looking for a postdoc to lead the analyses and publishing of data collected in a context of plant responses to heat and drought and limits to selection. You
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University of Bern | Inselspital, Bern University Hospital | Bern, Kanton Bern | Switzerland | 25 days ago
practice and data science, enabling the transformation of real-world data into clinically meaningful insights. Scientific Environment Bern offers a highly collaborative and rapidly evolving ecosystem in
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, artificial intelligence, and precision oncology. It is designed to serve as a key interface between clinical practice and data science, enabling the transformation of real-world data into clinically