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academic and federal partners. Deliver presentations at CO-OPS, GCOOS and other scientific meetings. Other duties as assigned. QUALIFICATIONS Ph.D. in computer science, or closely related field. Four (4
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science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU?s global network university
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 2 hours ago
. Application Deadline 7/29/2025 11:59:00 PM Eastern Time Zone Description The U.S. Department of Energy (DOE) Science, Technology and Policy Program (DOE-STP) is designed to provide opportunities for students
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in computer science, mathematics, statistics, bioinformatics, or equivalent. The candidate should have previous experience in bacterial genomics, machine learning/artificial intelligence, preferably
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Language Model (LLM) and their use in Model-Driven Engineering (MDE) and software architecture Demonstrated proficiency in MDE, including expertise in modeling, meta-modeling, model transformations, and
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is part of the Prostate Cancer Program and is located next to the Nelson Lab (https://research.fredhutch.org/peternelson/en.html) and the Haffner lab (https://research.fredhutch.org/haffner/en.html
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, architecture, urban planning, energy economics, public informatics, or a related field prior to being hired. Certifications/Licenses Required Knowledge, Skills, and Abilities Required o Professional knowledge in
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 21 days ago
-computing resources (e.g., at the MPCDF ). The institute leads or is involved in many large science collaborations and surveys, including SDSS-V, Euclid, 4MOST, VRO/LSST, JWST, and MeerKAT + JVLA programs
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scanning probe microscopy (STM or AFM), ideally with a focus on magnetic nanostructures or spin-resonance techniques Programming skills in Python or similar languages A proactive and collaborative mindset
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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort