1,059 data-"https:"-"https:"-"https:"-"https:"-"University-of-Minho" Postdoctoral positions in United States
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in both oral and written English is essential. Research experience with single-molecule methods, FRET, cryoEM, microfabrication, and/or data analytics is strongly preferred but not mandatory. Job
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
conditions; lead the surgical design for the neuroprosthesis implants, as well as the closed-loop controller, and data collection experiments with the patients; assist with the design and investigation
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minimal supervision, including designing experiments, formulating new ideas related to projects, executing experiments proficiently and timely, and analyzing data professionally. The candidate is expected
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expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a
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. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National Laboratories. Primary responsibilities will be
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inventories) with satellite remote sensing data (e.g., spaceborne lidar and/or hyperspectral observations) and apply machine learning and deep learning approaches to address these questions. This position is
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transport measurements for prototyping facility partners/customers as well as research activites, including designing thermal test vehicles for customer-focused measurements, analyzing research data, and
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data processing and interpretation workflows. The appointee will also pursue a collaborative science program leveraging the developing instrument capabilities, leading to peer-reviewed publications and
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latent class models. Additional Information: The postdoc position is full-time with a competitive salary that includes excellent fringe benefits. The appointment is for a minimum of one year, with renewals
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-miss reporting culture. Reproducibility & data stewardship: Version-controlled protocols, metadata standards for dielectric testing, and contribution to shared repositories (aligns with “high-quality