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other co-morbidities. The exciting next stage of this program will be to expand to multiple countries in East and West Africa, with rigorous evaluation. We are looking for an individual with a desire to
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 4 hours ago
scientific discovery and heightening creativity. The new Tayebati Postdoctoral Fellowship Program at MIT focuses on AI for addressing the most challenging problems in select scientific research areas, and AI
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Health At the College of Medicine and Public Health, we deliver clinical, population and lab-based research, integrated teaching programs and high-quality clinical services. Our footprint reaches out from
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the climate crisis while also demonstrating a strong background in communicating evidence and insights to multiple stakeholders. Please note that this post may be suitable for sponsorship under the Skilled
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results and related tasks under the supervision of the faculty member assigned. Conducts background research. Develops and implements an evaluation plan and prepares progress reports as needed. Studies
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English for research purposes Good communication and presentation skills, fluency in multiple languages is a plus We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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project by: Collecting, analysing and critically interpretating data sets from multiple techniques to characterise granular zeolite ion-exchange materials. Designing and developing new in situ synchrotron
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The BrainSignatures Lab (BSL) in its current form is a proteomics lab dedicated to finding biofluid signatures of Alzheimer's disease and other dementias. We follow multiple longitudinal cohorts
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visit here . As a successful candidate you will: · Focus on metabolic regulations of cardiovascular disease under cancer treatment and metabolic syndrome · Utilize multiple cutting-edge
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partners. Main Duties Improve, develop, implement, and apply advanced computational tools and workflows to process, analyse, and interpret large-scale LCMS-based metabolomics datasets across multiple species