34 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" positions
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classification algorithms including machine learning); and the output data and interpretability. The project “SORS in the community” is funded by the EPSRC (https://www.ukri.org/news/new-tools-aim-to-improve-early
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. Interested candidates may want to take a look at our recent work on machine learning molecular dynamics: https://www.nature.com/articles/s41467-024-52491-3 Project 2: Non-adiabatic Molecular Dynamics
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position on GW data analysis using machine learning (ML) with expected starting date February 2026. The position focuses on using neural posterior estimation for tackling issues related to the analysis
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We are seeking a Research Associate with expertise in machine learning and causal inference to join the University of Manchester spoke of “CHAI hub: Causality in Healthcare and AI”. The CHAI hub
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for many of the U’s shared IT services including the wired and wireless network; Campus Information Services (CIS) portal; UMail, telephone, and online collaboration; digital learning technologies
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desirable with a willingness to learn new skills. The post holder will be required to work independently and as part of a team and be computer literate with excellent communication skills. This is an
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Date 12/22/2025 Requisition Number PRN43922B Job Title Web Administrators Working Title Web Content Specialist Career Progression Track P00 Track Level P2 - Developing FLSA Code Computer Employee Patient
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Connected Learning (UCL) is seeking a Computer Technician to configure, deploy and maintain computers, AV, and communications technologies used in staff, classroom, and student lab environments. Included
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Digital Learning Tech Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range $15/hour Close Date 11/25/2025 Priority Review Date (Note - Posting may close at any time
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. Recent advances in digital pathology and innovative data analytics including machine learning have enhanced our ability to identify clinically relevant spatial characteristics of TMEs [1]. In lung cancer