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data included in the submitted documents, including my image (if a photo has been uploaded) for the purpose of the recruitment process.” Submitted offers will not be returned. The PMMHCI reserves
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underlying these processes remain poorly represented. This PhD project aims to fill that gap by using molecular simulations to quantify the interactions of SOM and EPS with water and minerals, and to connect
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trustworthy AI architectures in domains such as generative AI, large language models, neural networks, and imaging as well as to integrate various types of data to advance research and improve clinical decision
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management and user training experience. • Proficient in SEM and FIB operation including imaging, microanalysis, and sample preparation. • Familiarity with ThermoScientific/FEI user interfaces for SEM and FIB
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demonstrated record of excellence in research and teaching in rehabilitation engineering and biomedical image and signal processing, specifically in speech, language, and/or swallowing science. Candidates must
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mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time-lapse data Proven programming expertise in
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, THz Circuits, Photonic Integrated Circuits, SerDes, Memory Circuits and Computer Architecture High-voltage ICs, Gallium-Nitride (GaN) and Silicon-Carbide (SiC) driver ICs and monolithic GaN ICs Imagers
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Education: PhD in Biology related field. Work Experience: Research experience in wet biological laboratories with experience in cell culture, imaging and molecular biology techniques. Experience in working
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California State University, Long Beach | Long Beach, California | United States | about 18 hours ago
preferred, if available) How to Apply: Click Apply Now icon to complete the CSULB online application Requests for information and process should be addressed to: Virginia Gray, PhD, RDN, Professor and Chair
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given to those with relevant work experience and training. Registered Dietitian; Doctoral Candidate or Post-Doc. MS/PhD in Nutritional Science, Food Science, or related areas. Experience in the fields