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collaborative and interdisciplinary activities. Job Requirements: Preferably PhD degree in Computer Engineering, Computer Science, Applied Mathematics or equivalent. Strong academic background in machine learning
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for probabilistic unsupervised learning for structured biological data. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/307053/3-years-phd-position-in-probabilistic-machine
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 1 month ago
for 4 years Software Developer / Computer Scientist (m/f/d) specialised in AI & Machine Learning, Ref. 421 to support the further development and commissioning of the Real-Time Control (RTC) system
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discrete choice modelling, behavioural data science or machine learning? Are you interested in developing the next generation of AI tools that accelerate scientific discovery while maintaining behavioural
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ready. Integrate grid-edge measurements and system-level observations into unified workflows for DER aggregation and parameter identification. Apply machine learning techniques to improve DER/IBR model
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Adjunct Faculty (Machine Technology) SWC - req13883 To receive consideration for employment, you must upload transcript(s) and a Resume/CV. Please submit transcript(s) under "Other Documents" under
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Posting Details Position Information Position Number 004338 Position Title Computer Programmer - 004338 Division Finance and Administration Department 140210 - Computer Services Center Minimum
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electric machines for future defence and aerospace propulsion systems. The research will explore innovative machine topologies and advanced multi-physics design methodologies to enable electric machines with
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Title: Associate Instructor Computer Information Technology Employee Classification: Faculty Institution: TCAT-Jacksboro Department: Computer Information Technology Campus Location: TCAT Jacksboro
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and Immigration website . Full-Time, Fixed-Term (12 months) Applications are invited for the post of Postdoctoral Research Associate in Applied Machine Learning for High-Stakes Regulated Domains in