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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with machine
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for three professional references, and a brief description of your research background. Education Requirement: PhD in computer science, mathematics, or statistics. Required Qualifications: Strong record
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the UCD School of Mathematics and Statistics. The successful candidate will lead research focused on developing a scalable, AI-driven quality control (QC) system for synoptic and climate observation data
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Full time, 3 years fixed term, located on the Camperdown Campus at the School of Mathematics and Statistics Work with leading researchers in statistics and bioinformatics to develop innovative
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Requirements Applicants must hold a doctoral degree in Mathematics, Statistics, Data Science, Artificial Intelligence or a related field.Basic knowledge of numerical methods for ordinary and partial differential
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development About You You will hold a Ph.D/D.Phil in a quantitative or theoretical discipline (e.g. machine learning, computer science, mathematics, statistics, physics, theoretical neuroscience or a closely
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11 Aug 2026 Job Information Organisation/Company Universität für Bodenkultur Research Field Mathematics » Statistics Chemistry » Other Physics » Other Technology » Other Researcher Profile
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Mathematics of Symmetry and Computation (CMSC) is a globally recognised research centre within the Department of Mathematics and Statistics at The University of Western Australia. CMSC brings together leading
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Engineering and production optimization Documented mathematical, analytical and problem-solving skills. Good knowledge of statistics, AI/ML, and mathematical modeling and programming. Good knowledge in academic
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 2 months ago
sciences » Veterinary medicineEducation LevelPhD or equivalent Specific Requirements PhD in statistics, mathematics, biology, medicine or veterinary medicine Substantial statistical experience within