1,832 web-programmer-developer-"https:"-"https:"-"https:"-"UCL"-"UCL" Fellowship positions
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at the intersection of artificial intelligence (AI), natural language processing (NLP), digital health, and health equity. This position is funded by the UBC AI and Health Network Fellows Program. Under the supervision
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phenotypic factors of emerging and/or persistent Salmonella outbreak isolates, and the development of antibiotic alternatives that will benefit food safety and public health. A major emphasis for this research
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fully funded postdoctoral position with two years of guaranteed funding. The project is part of a larger interdisciplinary research program called Pathogen Response Optimization by GENeratIng ThErapeutics
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in clinical prediction modeling, UBC Faculty of Pharmaceutical Sciences SUMMARY Respiratory Evaluation Sciences Program (RESP ) is looking for a highly motivated post-doctoral research fellow in
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Professor, we will facilitate the acquisition of such competence during the employment period. A career development plan will be drawn up, outlining the competencies the Postdoctoral Fellow is expected
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is vacant from July 2026. This is a trainee position that will give promising researchers an opportunity for academic development through a PhD education leading to a doctoral degree. The hired
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components of the Treatment Outcomes Prediction Study (TOPS), a major Wellcome-funded program investigating the biological and cognitive mechanisms underlying psychological treatment response in anxiety
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 2 days ago
: The Artificial Intelligence Regulatory Science Program conducts regulatory science research ensuring safe and effective AI/ML-enabled medical devices across rapidly expanding healthcare applications including
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environmental health, public health, or a related area, with experience in the research context. Strong analytical skills to develop a new program for gathering evidence of the emergence of new alternative
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programme, Deep Molecular Phenotyping of Metastatic Breast Cancer. This ambitious, interdisciplinary project aims to generate an integrated, multi-omic understanding of secondary (metastatic) breast cancer