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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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AXA Post-Doctoral Fellowships aim at supporting promising researchers on a topic aligned with AXA’s priorities and societal challenges. For detailed information about funding scheme, specific topics
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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Job Description Job Alerts Link Apply now Research Associate/Fellow, Faculty of Dentistry University-Level Unit: Dentistry Faculty/Department-Level Unit: Dean's Office (Dentistry) Employee Category
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project - “Automated monitoring traffic data system for detector status and non-recurrent events”. Qualifications Applicants should have: (a) a doctoral degree or an equivalent qualification and must have
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Research Fellow to a friend please copy and paste the link below:
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pipelines for data processing, integration, and analysis, incorporating sequence analysis, structural modeling, and AI-based predictive tools. Collaborate with computational biologists and software engineers
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applicants are considered to have equal qualifications, female applicants will be given priority. Application To apply for this position please follow the link "Apply for this job". Your project proposal
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, drawing on high-resolution proteomics alongside complementary omics, clinical data, and dietary and lifestyle information. The overarching goal is to enable improved disease stratification, identify
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security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning