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Field
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service to the department and university • Perform other duties assigned by the Program Director Supportive Functions: • Participate in developing department goals, objectives, and systems • Actively
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with high-performance computing clusters. They will learn quickly and adapt to the scientific data and have experience in learning diverse data types generated by various platforms and technologies
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mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet). Persons with disabilities may be able to perform the essential duties of this position
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procedures for the collection, verification and management of data. Performs computational tasks under direction and collaboration with other graduate students, postdocs, and scientists in the laboratory
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Sciences (DEOS) at the School for Marine Science and Technology (SMAST) beginning in September 2026. We are searching for creative and innovative scholars with a demonstrated record for high-impact research
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Application Deadline 24 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Sweden. The program is funded with a total of 3.3 billion SEK (about 350 MUSD) over 12 years from the Knut and Alice Wallenberg (KAW) Foundation. The DDLS program funds 50 high-profile young group leaders
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possible: Several Postdoc Researchers / Physician Scientists (f/m/x) CIO - Centrum für Integrierte Onkologie - clinician or medical scientists in the fields of cancer genomics, computational biology, tumor
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Ridge National Laboratory (ORNL) is seeking a staff fellow with expertise in machine learning and high performance computing to help develop high-fidelity computational tools that are used for large-scale
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-performance computing clusters. They will learn quickly and adapt to the scientific data and have experience in learning diverse data types generated by various platforms and technologies, including genomics