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and ecological impact Experience with Experimental or Computational Tribology, Computational Fluid Dynamics and/or data analysis is desirable Excellent written and spoken English An enquiring and
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what motivates people, how that influences their decisions, and how this may change across adulthood. We use a wide variety of behavioral, modeling, and neuroimaging techniques. Please see https
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laboratory tests, analysis of data, and modeling. Qualifications To be eligible, you must have a master’s degree in materials science or chemistry. You should have basic knowledge of building materials and be
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CESM) and analysis of large observational datasets. Nitrogen oxides (NOx) emitted into the troposphere contribute to the formation of fine particulate matter (PM2.5) and ozone (O3). NOx thus plays a
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the CV and/or in the motivation letter; Strong understanding of, and ample experience with computational humanities, corpus linguistics, intertextuality and sentiment analysis - information provided in
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, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX - Jury Composition: President: Bruno Miguel de Oliveira Sousa Effective Members: Filipe João Boavida Mendonça Machado de Araújo, Vasco
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD work will be carried out within the EMPRe team (https://dcm.univ-grenoble
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work on the isolation, characterization and functional analysis of intestinal bEVs from human stool samples. Experimental work will include filtration and gradient ultracentrifugation for vesicle
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[2.1.1]hexanes as meta-benzene bioisosteres” Nat. Synth. 2026, DOI: https://doi.org/10.1038/s44160-026-01048-x . Starting date: 01/11/2026 Requirements Completed or close to completed MSc in Chemistry
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
computational modelling and simulation in engineering, including numerical methods, finite element analysis, constitutive models, response prediction, or digital twins (0–4 points); Experience in computational