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appropriate. Job Requirements: PhD in Artificial Intelligence, Computer Science, Data Science, Psychology, Public Health, Biomedical Engineering, or related discipline. Evidence of productive history working in
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to metamaterials (e.g. Materials Science, Engineering, Physics, Manufacturing, Design, or other related disciplines), High level analytical capability for both quantitative and qualitative data, Ability
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establish a distinctive research profile, with a particular focus on Green Energy Investment and Trade in Asia. The role will suit a candidate with strong data analytical capabilities, demonstrated knowledge
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during
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excited by methodological innovation and real‑world impact. You will hold a PhD in a quantitative discipline such as infectious disease modelling, statistics, mathematical epidemiology, data science, or a
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national health registries, advanced analytical methods, and clinical trial data to inform regulatory decisions, clinical practice, and public health. Read more about UIORWE here: Capitalizing on Norwegian
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
9 Mar 2026 Job Information Organisation/Company Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) Research Field Neurosciences » Neurobiology Researcher Profile First
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Statistics Apply for this job See advertisement About the position The University of Oslo, Department of Mathematics, Section for Statistics and Data Science, invites applications for a PhD fellowship in
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research projects in fish ”omics” analyses, behavioral analytics, stress resilience studies. • Plan and execute experiments; analyse and interpret research findings and large-scale biological data (e.g
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& conduct research on model validation using burning test data Actively participate in the development of a software tool for modelling electric-vehicles (EVs), power-assisted bicycles (PABs) and related