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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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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 24 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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scientific meetings Conduct original research within an international framework Have a creative, open, and resilient mind Criteria of the candidate: PhD degree in Biotechnology, Chemical Engineering, Bioenergy
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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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have a PhD, or equivalent advanced or terminal degree from a recognized institution of higher learning, in materials science and engineering, chemical engineering, or related field, with no more than 5
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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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Requirements To perform the essential functions of this position successful applicants must provide proof of U.S. citizenship, which is required to comply with federal regulations and contract. PhD completed
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Job Requirements REQUIRED: PhD in engineering that includes domain-specific expertise in manufacturing, processes or systems preferred; teaching experience in higher education settings in STEM
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24 Mar 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Engineering Engineering Mathematics Physics Researcher Profile Recognised Researcher (R2) Established
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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