265 data-"https:"-"https:"-"https:"-"https:"-"The-University-of-Tokyo" positions in Switzerland
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this role, you will design and implement AI architectures that combine industrial data, domain knowledge, and modern language models. You will collaborate with leading Swiss industrial partners and focus
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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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scripting, high performance computing, or advanced statistics and data analysis frameworks (python, R) Regardless of background, the successful applicants will have an interactive personality, motivation
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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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exposure across diverse conditions and clinical isolates. In close collaboration with postdoctoral researchers, you will integrate these data with results from CRISPRi and transposon mutagenesis screens
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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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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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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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for further information) Scan of your validated UZH Card Letter of invitation or research plan Depending on the type of activity applied for, we require either a letter of invitation or a research plan. Letters
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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