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information, please visit the University of Washington Labor Relations website . Qualifications The successful candidate must have a PhD or MD degree in Microbiology, Pathobiology, Immunology, or related fields
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27 Mar 2026 Job Information Organisation/Company Instituto de Neurociencia Avanzada de Barcelona Research Field Neurosciences » Other Researcher Profile Recognised Researcher (R2) Positions PhD
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cementitious materials and concrete durability; experience designing and supervising experiments; familiarity with LCCor alternative binders; strong data analysis and publication record; effective communication
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at the University of Amsterdam and will lead the development of advanced computational data analysis methodologies. Your primary goal is to connect different levels of the degradation pathway to the parent molecule
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
supervision of Dr. Hanan Salam on the: Development of an Augmented Smart Classroom for Personalized Learning (SmartClass) serving as a test-bed for the collection and analysis of students and professors data
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resident to work remotely. The Postdoctoral Scholar will play a key role in designing and implementing research protocols, leading data collection and analysis, producing peer‑reviewed publications, and
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apply online for this vacancy and to view further information about the role, please click the 'Apply' button above. Applicants must have (or be close to obtaining) a PhD. Appointment at Research
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sciences, such as cellular EM, volume EM, or cryo-EM. A solid understanding and proven expertise in Python and the use of computational techniques, preferably neural networks, for data analysis and
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
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contribute to high-impact research on machine learning related to the analysis of IoT data in the form of multivariate time series. The DESS group is part of Department of Computer Science that belongs