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Field
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motivated and creative Postdoctoral Scientist to join our dynamic, cross-disciplinary team. This role focuses on understanding how the somatosensory system has evolved to detect, process, and relay
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: massive stars or accreting black holes?” (program ID 8290), featuring integral field spectroscopy with NIRSPEC and MIRI, and imaging with NIRCam and MIRI of the blue compact galaxy Haro11. Main
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strong background in relevant areas. Key Responsibilities: To independently undertake research in computer vision and machine learning. To produce research reports and/or publications as required by
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a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
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models of image processing; (iii) demonstrate experience in academy-industry projects; (iv) interest in publishing high-quality journal papers in the field; (v) demonstrated leadership in research projects
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vivo neuroscience methods, including EEG/EMG telemetry, surgery, and pharmacological interventions strong skills in statistical analysis, data interpretation, and computational approaches to complex
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Analysis of Economic Impacts of Ultra-Processed Foods to lead quantitative research on the economic impacts of ultra-processed foods, managing and analyzing large, complex datasets to generate robust, policy
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schizophrenia. In addition to making fundamental discoveries (e.g. how thalamocortical interactions implement attentional control and task switching), we aim to understand these processes well enough to develop
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University of Maryland School of Medicine, Baltimore | Baltimore, Maryland | United States | 3 months ago
positions. The successful candidate will join a multidisciplinary research team investigating novel immunotherapeutic strategies to treat solid cancers caused by chronic HIV infection and inflammatory
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to: Contribute to development and deployment of particle imaging systems for use in breaking waves, both in the field and in the lab Contribute to analysis of images, and development of the open-source analysis