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Instrument for Magnetic Sounding (PIMS) on the Europa Clipper Mission. Space Sci Rev 219, 62 (2023). https://doi.org/10.1007/s11214-023-01002-9 3. Kataoka, R., Nakano, S. & Fujita, S. Machine learning emulator
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specify what kind of experience: NA Required License No If yes, what is the required licensure/certification? NA Required Computer Applications: Not Applicable Required Other Computer Applications: Required
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must have or be eligible to have certification as a state psychologist at state or nationally level prior to start date, or PLMHP/LMHP/LIMHP. Required Computer Applications: Microsoft Outlook Required
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modeling, and AI experts, as part of the international project M2 LInES (https://m2lines.github.io) . You can read about some of our recent work here: Dheeshjith et al. 2025 , Duncan et al. 2025 , Pedersen
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very detail-oriented with the ability to multi-task and work independently. Must be computer literate with demonstrated skill in digital technology (i.e., Adobe Acrobat, digital file manipulation
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for this position will work as a member of an interdisciplinary team on research involving the use of statistical and machine learning methods for the development of Immune Digital Twins. There will be potential
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary To provide recycling and waste management maintenance services to support the University’s Waste
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Medicine. To be considered, those interested must apply through The University of Chicago's Academic Recruitment job board, which uses Interfolio to accept applications: https://apply.interfolio.com/183299
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utilization. ● e) Applying machine learning techniques: Dynamic selection of optimal post-processing protocols will be achieved by evaluating real-time network conditions and adjusting based on metrics