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for a 1.0 FTE Postdoctoral Scholar. This full-time, 12-month position has immediate availability for an initial one-year appointment. The position will be renewable annually contingent on performance and
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heat loss. Common thermal insulation materials are highly porous and contain open or closed pores filled with gas. In 2021, only 10% of insulation materials were derived from renewable resources. Plant
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Classification Title: Post-Doctoral Associate in unsupervised and generative ML for chemistry Classification Minimum Requirements: PhD in Chemistry or related area Strong coding (Python) and
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in statistics, data science, business analytics, sports analytics, operations research, computer science, or a
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: The fellowship will last for 6 months, scheduled to begin in September 2026, possibly renewable within the duration of the project. Application deadline and form of application submission: The competition is open
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participates in the preparation of required technical progress reports to research sponsors. Other Duties: Performs other duties as assigned. Qualifications Required Education and Experience: PhD degree in any
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this position is September 2026, with yearly renewals based upon funding and performance. Applications will continue to be accepted until the position is filled. This position will be based in the Okeke Lab and
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and scale-up redox flow batteries. Your task is to conduct research on these topics, assist in supervising ongoing research projects and guide the team of PhD students working within this field. You
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position can be filled (also negotiable). Length of Appointment: The initial appointment would be for one year with the possibility of renewal annually for three subsequent years subject to review and to
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energy storage? Job description Energy storage is an indispensable factor for bridging the electricity consumption with the intermittent renewable energy supply. With increasing supply of renewable