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Field
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Description The Climate Systems Engineering initiative (CSEi) at the University of Chicago invites applications for the 2027-29 cohort of CSEi Research Fellows, to be appointed at the rank of Postdoctoral
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technology creation at the intersection of neuroscience and AI, with opportunities for innovation and collaboration across multiple disciplines. Candidates are expected to have experience in cutting edge AI
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. These demonstrators will have strong potential for high-profile publications, commercialisation, and/or dissemination as open-source designs. The ideal candidate might be from an academic (e.g. PhD/Postdoc in a related
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? Digital platforms do not convey the tactile, spatial and multisensory qualities that are integral to shared manipulation of tools, prototypes and materials. In the MIRA project, we will develop prototypes
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Apply Now How to Apply Materials and questions should be sent by email to [email protected]. Please use the subject line "Fellowship Application." Please submit: A written statement
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findings in internal meetings and scientific publications Basic Qualifications PhD degree in neurobiology or a related field Prior experience with bioinformatic analyses, viral engineering, neuroanatomy
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• PhD degree in materials, chemistry, chemical engineering, physics, environmental engineering, or any other related fields. • Expertise in optical imaging and nanocatalysis • Published in
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The successful candidate should possess the following: • A PhD in Materials Science, Chemical Engineering, Chemistry, Physics, or related fields • Highly motivated, committed, and capable
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in the field of Materials Science and Engineering, under the supervision of researchers from PCL, within the scope of PCL’s Simoldes projects, reference PT2030_SIID_RCI, financed by European Union
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breakthrough Ultralow-K (ULK) Monolayer Amorphous Carbon (MAC) dielectric technology. Having successfully validated the core materials physics at the lab scale, we are now solving critical reactor scaling