10,939 machine-learning "https:" "https:" "https:" "https:" "https:" "Bournemouth University" research jobs
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). For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/298016/researcher-in-paleogeography-and-geodynamics Where to apply Website https://www.jobbnorge.no/en/available-jobs/job
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., MATLAB, Python) is required. Experience with machine learning is highly preferred. Ability to work independently and as part of a team. Key Requirements for PhD: Hold a Bachelor's degree with outstanding
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Fellow (RF) to work on smart solid carbon
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https://www.ipn.pt/bolsas Requirements Research FieldEngineering » Computer engineeringEducation LevelBachelor Degree or equivalent Specific Requirements Master's degree, integrated master's degree
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to apply E-mail lena.richter@helmholtz-berlin.de Website https://recruitingapp-5181.de.umantis.com/Vacancies/2790/Description/2?lang=eng Requirements Additional Information Website for additional job details
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Fraunhofer IGD and the FBN team to safeguard an efficient collaboration and communication between behavioural biologists and computer scientists. The project is part of the KI-Tierwohl project (https://ki
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have a PhD, or equivalent advanced or terminal degree from a recognized institution of higher learning, in materials science and engineering, chemical engineering, or related field, with no more than 5
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%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model
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Posting Summary Logo Posting Number RTF00066PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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MRIs (available in HIE cases) and radiomic features predictive of school-age MRI extracted. Machine learning algorithms of radiomic features predictive of future brain development will be developed