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Fellowship Description Chapman Fellowships in Mathematics (Applied Mathematics Section) Salary: Research Family, Research Associate £50,733 - £59,484 per annum Location: South Kensington - hybrid
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the scientific supervision of Professor Filipe Vaz, Associate Professor with Habilitation, of the Department of Physics of the School of Sciences of the University of Minho, and Doctor Cláudia Lopes, Assistant
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metabolism and fatty-acid ß-oxidation associated with mitochondrial dysfunction; (ii) investigating the contribution of mitochondria-derived vesicles and mitochondrial-to-peroxisome trafficking to peroxisomal
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that, under subparagraph e) of Article 3 of RBI-FCT, they are developed in association or cooperation between the higher education institution and one or more R&D units. I.III - Ineligible candidates
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 6 days ago
score of 75 points. Selection Committee Chair: Professor Eduarda Marques da Costa, Full Professor, IGOT-University of Lisbon; Member: Professor Nuno Marques da Costa, Associate Professor, IGOT-University
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-inflammatory activity in in vitro cell models. Participation in scientific outreach actions associated with the project, as well as in progress meetings and in the preparation of technical-scientific reports. 7
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 6 days ago
in: a Master's programme; or a non-degree course integrated into the educational project of a higher education institution developed in association or cooperation with one or more R&D units, including
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) of Article 3 of RBI-FCT, they are developed in association or cooperation between the higher education institution and one or more R&D units. I.III - Ineligible candidates: Candidates enrolled in non
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availability of those funds. Essential Functions Lead and coordinate research activities associated with NIH-funded projects in immune tolerance engineering and therapeutic vaccination. Design, conduct, analyze
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, and environmental factors associated with diabetes incidence, prevalence, complications, and trends. Learn and apply advanced statistical and machine learning methods, including cluster analysis and