Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- University of Oslo
- Harvard University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- National University of Singapore
- University of Bergen
- University of Nottingham
- University of British Columbia
- University of Manchester
- The University of Queensland
- Cornell University
- University of Birmingham
- University of Michigan
- University of New South Wales
- CRANFIELD UNIVERSITY
- City of Hope
- Durham University
- Northeastern University
- University of Algarve
- University of Texas at Austin
- Zintellect
- Barnard College
- Dana-Farber Cancer Institute (DFCI)
- Ellison Institute of Technology
- Indiana University
- Monash University
- NTNU - Norwegian University of Science and Technology
- Singapore University of Technology & Design
- UCL;
- UNIVERSITY OF SURREY
- UiT The Arctic University of Norway
- University of Nottingham;
- ;
- Aarhus University
- Carnegie Mellon University
- Cranfield University
- European Space Agency
- Francis Crick Institute
- Hong Kong Polytechnic University
- INESC TEC
- Imperial College London
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Johns Hopkins University
- King's College London
- LINGNAN UNIVERSITY
- Loyola University
- Macquarie University
- NTNU Norwegian University of Science and Technology
- National Research Council Canada
- The University of Manchester;
- Universidade do Minho
- University of Agder
- University of Cambridge;
- University of Colorado
- University of Denver
- University of Kansas Medical Center
- University of South-Eastern Norway
- University of Stavanger
- University of Sydney
- University of the West of England
- American University
- Birkbeck University of London
- Birkbeck, University of London;
- Center for Biologics Evaluation and Research (CBER)
- Central Michigan University
- Centro de Engenharia Biológica da Universidade do Minho
- Cori Institute of Molecular and Computational Metabolism
- ETH Zürich
- FEUP
- Humboldt-Universität zu Berlin
- INESC ID
- Institute for Basic Science
- King Abdullah University of Science and Technology
- Lingnan University, Hong Kong;
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Marquette University
- Max Planck Institutes
- Max-Planck-Institut für Bildungsforschung
- Middlesex University
- Middlesex University;
- Montana State University
- OCAD University
- Oden Institute for Computational Engineering and Sciences
- Queen's University Belfast
- RMIT UNIVERSITY
- RMIT University
- Research Center for Molecular Medicine (CeMM), ÖAW
- SUNY University at Buffalo
- School of Sciences
- St Jude Children's Research Hospital
- Stephen & Denise Adams Center for Parkinson's Disease at Yale School of Medicine
- Technical University of Munich
- The Francis Crick Institute;
- The University of Southampton
- UCL EE
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- UNIVERSITY OF SYDNEY
- University of Alabama, Tuscaloosa
- University of Cambridge
- University of Exeter;
- 90 more »
- « less
-
Field
-
CW and pulsed laser systems, spectrometers, high-resolution cameras, and delicate optical components are desirable Expertise in advanced data analysis techniques (Machine learning and Deep learning
-
focusing on multi-omic integration analytics, machine learning, and/or AI. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute
-
processes of the study systems of our collaborators. Core components of the research involve, among others, Bayesian hierarchical modelling, shrinkage methods, machine learning (ML) or dimension reduction
-
curricular evaluation purposes, proven skills in programming, preferably Python; machine learning and artificial intelligence; language models and retrieval-augmented generation (RAG); ASR/TTS; diarisation
-
, microbial cultures, and cleaning validation samples. Develop data analysis pipelines for Raman spectral classification, potentially integrating machine learning methods. Research & Project Responsibilities
-
29 Jun 2026 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Engineering » Biomedical engineering Researcher Profile First Stage Researcher (R1
-
porphyry copper deposits. In this role, you will develop and apply machine-learning models to predict mineralisation using accessory minerals such as zircon and apatite, with a particular focus on
-
machine learning is an advantage but is not required. Experience with the design and implementation of survey-experiments is an advantage but not a requirement. Alongside developing their own research ideas
-
simulations combined with physics-informed machine learning will also be examined. Several research and industrial partners are a part of this project. The ideal candidate would combine strong computational
-
on projects at the intersection of computational neuroscience and machine learning. This position is part of a multi-investigator grant on the role of memory in intelligence systems. The Postdoctoral Fellow