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modeling, materials, and biomanufacturing). Candidates will possess a PhD in Artificial Intelligence, Computer Science, Computer Engineering, Data Science, Mathematics, Statistics, or a closely related
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Your position The candidate will have the opportunity to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical
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. The postdoctoral fellow is expected to plan and coordinate the new study, analyze neuroimaging data, perform statistical analyses, and write articles on neurodevelopment in relation to HC use and mental health
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: Understanding of basic statistical methods and data analysis techniques that can be deployed in real-world use case scenarios. Data visualization proficiency: Expertise in using data visualization tools like
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the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships available in Digital Endocrinology in the Marie
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University of Warsaw: Faculty of Mathematics, Informatics and Mechanics | Poland | about 21 hours ago
the Polish Accreditation Committee. Around 100 PhD students of the Doctoral School of Exact and Natural Sciences carry out their research under the supervision of the Faculty’s staff. More information: https
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University of Warsaw: Faculty of Mathematics, Informatics and Mechanics | Poland | about 21 hours ago
equations, statistics, game theory, machine learning Deadline for submitting applications: 20 February 2026 Required documents All documents must be submitted via the online platform https://jobs.uw.edu.pl/en
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education and experience. Minimum Requirements: PhD from distinct engineering disciplines (in addition to Industrial and Systems Engineering) and related fields (e.g., computer science and statistics
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decision-making on Total Allowable Catch (TAC) and regional harvest strategies. This position operates at the interface of science, policy, and industry, translating complex ecological and statistical
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records at the TRUST platform (https://trustplatform.sg/) . We are inviting a motivated Research Fellow to join our PRECISE-SG100K collaboration to work on the dataset (https://www.npm.sg/phase-ii-precise