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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Aalto University is where science and art meet technology and business. We
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We are seeking a full-time Postdoctoral Research Assistant to join the Dynamic Robot Systems Group of the Oxford Robotics Institute and the Department of Engineering Science in central Oxford
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at Leiden University, if their skills and interests align with the project. What you bring Selection criteria: PhD in analytical chemistry, microfluidics, chemical engineering, robotics, biomedical
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to completion) in Mechanical Engineering, Aerospace Engineering, Chemical Engineering, Applied Mathematics, Physics, or a related discipline. You should have strong knowledge of reacting flow physics, combustion
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Education and Experience: PhD degree in Neuroscience, Biomedical Engineering, or a closely related scientific field. Candidates in ABD (all but degree) status will also be considered. City: Piscataway State
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needed. Job Requirements : PhD in atmospheric science, oceanography, Earth science, physics, engineering, applied mathematics, or a related quantitative field; experience in satellite remote sensing
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FieldChemistryEducation LevelPhD or equivalent Research FieldChemistry » Structural chemistryEducation LevelPhD or equivalent Skills/Qualifications - PhD in biotechnology, chemistry, biology, or chemical engineering; - the
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nationally, during the funding period. The course or activity focus may be technical (e.g. quantum science and technology, methods etc.) or general (e.g. scientific communication, supervision, entrepreneurship
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 19 days 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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, to understand how brain networks and symptoms evolve within individuals over time. These studies combine high-frequency neuroimaging, behavioral assessment, wearable data, and digital phenotyping to characterize