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Field
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that accelerate excited-state simulations, integrate them into open-source scientific workflows, and validate their accuracy and performance on energy-relevant molecular and materials systems. You will also create
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at the forefront of renewable energy transitions, exploring how emerging technologies, urban environments and climate challenges intersect to shape the future of sustainable energy systems. Through innovative
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and mouse models of cerebrovascular disease Contribute to study design, interpretation of results, and preparation of manuscripts and presentations Required Qualifications PhD in molecular biology, cell
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renewable Appointment Start Date: As soon as possible, but later starting date also considered Group or Departmental Website: https://www.mignotlab.com(link is external) How to Submit Application Materials
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challenges by conducting top quality research in three main areas: SustainableCatalysis, Renewable Energy and Health. The institute also aims at training the future generation of scientists by offering high
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renewable postdoctoral position is part of an innovative project focused on characterizing the modification of bio-based materials using natural enzyme mimics capable of oxidizing biomass, particularly
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research topics include Langmuir films mimicking cell membranes, the assembly of nanoparticles at liquid interfaces, and catalysis (CVD growth of 2D materials on LMCat, and Fischer–Tropsch synthesis
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. Required Qualifications PhD, MD/PhD, or equivalent doctoral degree by the start date Strong background in cell biology, molecular biology, biochemistry, metabolism, physiology, genetics, chemical biology, or
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of Computer Science and Electrical and Computer Engineering. INESC-ID’s research impact is focused on four Thematic Lines Energy transition Life and health technology Security and privacy Societal digital
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calling, annotation Perform rare-variant and association analyses across patient cohorts Integrate genomic data with single-cell, spatial, and other omic datasets Develop and maintain reproducible analysis