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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | about 2 hours ago
have experience with the handling of animal data, long-standing experience in user-centered computing, and scientific publishing. Thus, a PhD degree in computer science or a related field is required
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assays, immune‑cell trafficking, and spatially resolved tumor–immune crosstalk. Lead image and data analysis, including programming in Python and experience with ImageJ/Fiji, to process microscopy data and
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FieldHistory » History of scienceYears of Research ExperienceNone Additional Information Eligibility criteria The candidate must hold a PhD degree in the field of analysis (theoretical and/or numerical) of PDEs
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plasma; on the production and evaluation of materials and coatings; on the characterization of the materials produced; on data analysis; on the writing of scientific papers and technical reports; and on
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6 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Innovation Moléculaire et Applications Research Field Chemistry Environmental science Researcher Profile Recognised
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statistical analysis plans Develop statistical code for harmonized data analyses across countries Coordinate site-specific analyses and combine results using meta-analytic methods Draft manuscripts
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/editais-calls/ . Where to apply Website http://www.fapesp.br/oportunidades/9285 Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Brazil Eligibility
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very large datasets of epidemic indicators, such as case surveillance data, cellular phone data, and mobility patterns. Qualifications: PhD in a quantitative field such as mathematics, network science
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Characterization of precursor materials, including chemical, morphological, and electrochemical analyses, calcination, and performance testing in lithium-ion battery cells Data analysis and dissemination of research
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projects integrating omics, clinical and medical imaging data, contributing to biomarker identification and the development of computational approaches for healthcare. Key responsibilities include analysis