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and clinical partners Contribute to the development and evaluation of analytical methods for processing and modeling EEG data Take the lead in writing scientific publications and presenting
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actual data Participate in writing up the results and submission for scientific publication Collaborate with and mentor doctoral students engaged in the projects Other duties as assigned Adaptability
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data reflect real‑world disease phenotypes. Advanced analytics: apply AI and machine‑learning techniques (e.g., graph neural networks, multimodal transformers) to uncover novel biomarkers and generate
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new models that integrate EO data and advanced technologies such as AI into macroeconomic and socio-economic frameworks. Main research topics: conduct a global macroeconomic analysis of the global Earth
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for arbovirus surveillance in the wild through data collation and analyses, (4) conduct epidemiological modeling and analytics for data generated from the project and (4) provide regular technical support to
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engineering) High level of analytical and problem-solving capability Ability to communicate complex information with clarity and to encourage the commitment of others Experience of research with clear
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For more information see the LEAD AI webpage or send an email to leadai@uib.no Qualifications and personal qualities: Applicants must hold a PhD degree according to Norwegian standards. A strong preference
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manufacturers and the ability to meet milestones and deadlines good analytical skills and attention to detail and ability to utilise data analytics and modelling software accordingly. Sponsorship / work rights
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administrative staff, and 100 non-permanent personnel, including 60 PhD students. CEREGE is structured into four teams and several analytical and technical platforms, fostering strong interdisciplinarity through
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skills. Analytical skills. Attention to detail. Additional Information: Each postdoctoral fellow will be paired with a TAMUG faculty member who has agreed to serve as a sponsor*. Fellowships will provide