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Field
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focused on deep-phenotyping of individuals with autism and controls including brain imaging (MRI, fMRI, DTI and EEG) and a battery of cognitive tests. Our group is currently developing new methods
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bonding, defects, catalysis, batteries, solid-state chemistry, molecular systems, or related materials classes. Strong Python skills and familiarity with LLM APIs, agent frameworks , PyTorch, and the Python
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infusion (467 lecanemab, 124 donanemab) as of April 17, 2026. Using Epic EHR data (structured diagnoses, CDR/CDR-SB, cognitive batteries, comorbidities, and longitudinal follow-up), the postdoctoral fellow
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hospital based settings, including obstetrics and gynecology. Experience administering psychological test batteries, including projective measures. Experience in an outpatient setting. Baylor College
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to the development of next-generation thermal comfort technologies for Battery Electric Vehicles. The successful candidate will develop advanced thermal comfort metrics by combining physiological measurements
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events place increasing pressure on cooling systems for batteries and hydrogen fuel cells. Current systems are often oversized because they are designed for worst-case conditions. This project aims
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-generation thermal comfort technologies for Battery Electric Vehicles. The successful candidate will develop advanced thermal comfort metrics by combining physiological measurements, subjective user feedback
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treatment but also from adjacent fields (e.g., ohmic heating, batteries, energy storage). The main goal will be to develop an electrochemically stable anode material based on reduced graphene oxide-coated
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distributed renewable energy and battery storage, can improve system efficiency and resilience. Who we are looking for The following requirements are mandatory: A doctoral degree in one of the following
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-phenotyping of individuals with autism and controls including brain imaging (EEG and MRI) and a battery of cognitive tests. Our group is currently developing new methods for analyzing whole genome and brain