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science. Lab Website: https://sites.ucsd.edu/mind-lab/research/ . Role Description We seek a highly motivated Postdoctoral Scholar to join our team and spearhead an exciting project focused
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attention and decision making networks in a behaving animal model together with parallel studies in humans. The project is part of a NIMH Silvio O. Conte Center on the "Cognitive Thalamus". The successful
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under a single or otherwise limited set of discrete tuning parameters. In parallel, the candidate will gain in-depth knowledge of time-modulated photonic media, nonlinear optics, adjoint-based
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system-level performance metrics (efficiency, bandwidth, angular response, and robustness). In parallel, the candidate will gain in-depth knowledge of analytical modeling techniques and adjoint-based
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column. This parallel study will allow to integrate short-term, ecological observations on the climate-driven Rhizarian response, as well as related oceanographic processes, including productivity and
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We are looking for a highly motivated PhD student to join the Nucleic Acid Immunity Lab at the VIB-UGent Center for Inflammation Research. Lab website: https://www.irc.ugent.be/groups/maelfait-lab
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Position overview Position title: Learning Specialist Salary range: A reasonable salary range estimate for this position is $54,166-$109,666. The posted UC academic salary scales (https
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KTH, while the school is coordinated by Linnaeus University. Accordingly, different perspectives to achieve sustainable targets in mining and metallurgy will be explored in seven parallel and
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of protein variants Demonstrated experience with pooled, massively parallel screening approaches coupled to next-generation sequencing Skills to independently establish assays in yeast as a host system You
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State University of New York University at Albany | Albany, New York | United States | about 17 hours ago
vibration isolation). In parallel to the benefits of quantum computing, artificial intelligence and neuromorphic computing seek to emulate the massively parallel, highly efficient computing capacity