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Field
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27 Feb 2026 Job Information Organisation/Company Osaka University Department Graduate School of Information Science and Technology Research Field Engineering Information science Technology Computer science All Other Researcher Profile Recognised Researcher (R2) Application Deadline 10 Mar 2026 -...
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5 Feb 2026 Job Information Organisation/Company Chiba University Research Field Astronomy Chemistry Mathematics Physics Geosciences Researcher Profile Recognised Researcher (R2) Application Deadline 20 Feb 2026 - 23:59 (UTC) Country Japan Type of Contract Permanent Job Status Not...
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experience in machine learning and parallel computing Good organisational skills and ability to work both independently and collaboratively Experience with deep learning frameworks, such as Tensorflow
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Supervisor: Professor Fernanda Duarte Start date: 1st October 2026 Applications are invited for a fully-funded DPhil studentship in Machine Learning Interatomic Potentials for Metal-Ligand
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This new Diabetes UK funded post is available full-time on a fixed term basis from 02/03/2026 - 31/07/2027. The post The Faculty wish to recruit a Graduate Research Assistant or Postdoctoral
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machine learning (ML) along with data from previously solved problem instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Netwon`s method. In
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heavily relies on empirical determination of key model parameters. By combining protein structure descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange
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Infrastructure? No Offer Description Work group: IAS-8 - Datenanalyik und Maschinenlernen Area of research: PHD Thesis Job description: Your Job: We are looking for a PhD student in machine learning to work within
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of the project] * Background of the recruitment and description of the project We invite applications for a Postdoctoral Researcher to join an international research team studying ecohydraulic processes in a
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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem