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Università degli Studi di Milano, su finanziamento codice U-GOV RL_PRES25MORTE_01 | Italy | about 1 month ago
for the award of one post-doctoral appointment, pursuant to art. 22-bis of Law no. 240/2010 Where to apply Website https://www.unimi.it/it/incarico-post-doc-gsd-03/chem-04-ssd-chem-04/codice-700… Requirements
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experience in computational and machine learning approaches for use in the quantitative measurement of human learning and its associated behaviors and motivational constructs. A strong applicant will hold Ph.D
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subsea digital twin of deep-water mooring lines for floating offshore wind turbines. The digital twin will be integrated with machine learning algorithms for detection of primary entanglement due
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promoters. Digital Phenotyping: Application of hyperspectral imaging and advanced imaging tools to detect disease traits beyond the visible spectrum. AI-Driven Data Analysis: Leveraging machine learning
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The Energy Systems and Infrastructure Assessment (ESIA) division provides the rationale for decision makers to improve energy efficiency. We develop and use analytic tools to help the U.S. achieve
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-time, grant-funded position, eligible for all Duke benefits (https://hr.duke.edu/benefits ) with an initial appointment of one year, with the possibility of renewal up to 3 years, dependent on funding
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: The appointment will be for one year. Appointment Start Date: 01/15/2026 or once the position is filled Group or Departmental Website: https://woods.stanford.edu/ (link is external) https://fieldlab.stanford.edu
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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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of residence: OTHER Eligibility of fellows: nationality/ies: OTHER Selection process Comparative evaluation procedure based on qualifications and interview. Website for additional job details https://uniroma3
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, multi-modal data, and GPU-accelerated machine learning for materials science. Information We are seeking two highly motivated postdoctoral researchers to join the Horizon Europe project SIMU-LINGUA, a