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| University of Colorado (cu.edu) · benefits guide cover-post-doc-2024 (cu.edu) Qualifications: Minimum Qualifications: · PhD in Immunology, Cancer Biology, Molecular Biology, Cell Biology, or a
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-based materials and composite systems for space applications. The successful candidate will contribute to research focused on the design, synthesis, processing, characterization and performance assessment
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the Electrochemical Processes Unit looking for talented and motivated candidates, to join the regional MADBAT-CM consortium. The successful candidate will work on battery-grade electrolyte formulation, electrode
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. Consideration to interview will also be given to applicants who are in the process of completing their doctoral degree (PhD, ScD, D.Phil.) in public health/epidemiology or related field of study. Documentation
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for Computational Sciences. They will collaborate with leading computer and computational scientists at ORNL and external collaborators in the development and application of new computational techniques specifically
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, including physical and chemical processes occurring after emission; Human inhalation exposure to indoor air pollutants and factors influencing exposure; Experimental characterization of indoor aerosols and
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. With the rapid expansion of the observational network, encompassing over 100 stations reporting one-minute data and an additional 200 stations expected soon, traditional human-led QC processes
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, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and
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to the supervision of undergraduate and postgraduate students. This role provides an excellent opportunity for recent PhD graduates and early career researchers to further develop their expertise while working across
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
-10346 Requirements Skills/Qualifications PhD in Computer Science, Machine Learning, Signal Processing, or a closely related field, completed or nearly completed at the start date. Strong background in