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100%, Zurich, fixed-term If you are intrigued by study of past climate, enjoy having your hands on samples in the lab and generating new geochemical data, and are a quantitative thinker, you might
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, the Swiss Data Science Center, and Agroscope. PhenoMix focuses on legume-cereal mixtures, i.e., different varieties of pea and lentil as well as wheat, oats, and barley grown under an experimental field
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reliable ground truth data for developing automated condition indicators from GPR measurements. Job description Support in planning and preparation of the experimental campaign (test track configuration
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(completed or near completion) in a relevant field (e.g., Environmental or Soil Sciences, AI, Data Science, Geosciences). Basic knowledge of soil science and strong interest in AI and soil health. Experience
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the genomics data, and study the fate and impact of bioaerosol. Bioaerosol, including airborne bacteria, viruses, fungi, and fragments of these organisms pose risks to human. Emerging hazardous components
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of the Varda machine learning weather prediction system. The model is being trained using archive data from MeteoSwiss operational forecasts and observations, with the objective to provide accurate and fast
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1-year fellowship in Shoebill Conservation Genetics with support for a further 3-year PhD fellowship
about bioinformatics, including R and shell programing, and analyzing data using population genetics tools and theories. The candidate should have good self-organization, be solution-oriented, and have
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of measurement systems, signal processing and analysis and the assessment of measurement accuracy, robustness and long-term stability. The resulting data form the basis for model-based approaches to evaluating
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postdoctoral researcher with a strong background in sequence bioinformatics, algorithms and data structures. The successful candidate will join an interdisciplinary effort developing innovative diagnostic
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relevant information from the papers. Our research group is dedicated to investigating human cognition and learning processes. We conduct theory-driven research about how people learn and how to develop