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the Department: Civil, Environmental, and Infrastructure Engineering (CEIE) is a vibrant department that offers MS and PhD programs, in addition to an ABET-accredited BS degree. With special emphases in
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approaches to computer vision, in a disease animal model. In order to compare the connectome across different experimental conditions, developmental stages, and strains or species, we must first measure the
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technical skills and gain knowledge in US health policy. The position is based at Stanford University. A PhD in economics, health policy, or a related field is preferred. Duties include: * Prioritize and
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Job related to staff position within a Research Infrastructure? No Offer Description Work Activities This fully funded PhD position lies at the interface between fundamental physics and industrial
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the application: Resume/CV PhD (if applicable), Masters, and Bachelor’s unofficial transcripts At least 3 professional references (be sure to include phone numbers and email addresses) During the application
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activities. The post holder will be appointed in the Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences (BMEIS), where their duties will include academic, clinical
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: Unity, Unreal) Fundamentals of Machine Learning, data mining, and Big Data analytics Neuroscience for Education (EEG, EMG, GSR, EDA, HR, ST, RR, HRV, BPR, etc.) Image and video processing Technological
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-edge technologies for diagnosing, treating and managing medical conditions. Our research spans medical imaging, cancer diagnosis and therapies, robotics and AI, implanted devices and computing. We have
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University of Applied Sciences in Nowy Sacz (Akademia Nauk Stosowanych w Nowym Sączu) | Poland | about 2 months ago
Researcher (R2) Positions PhD Positions Application Deadline 16 Feb 2026 - 15:30 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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general anti-discriminatory understanding and the willingness to further improve these skills Desired qualifications knowledge of image or signal processing, spectral analysis and linking scientific data