844 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Nanyang Technological University
- Harvard University
- National University of Singapore
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Michigan
- City of Hope
- Monash University
- University of British Columbia
- Macquarie University
- Nature Careers
- University of Stavanger
- University of Birmingham
- Hong Kong Polytechnic University
- NTNU - Norwegian University of Science and Technology
- University of Melbourne
- King's College London
- University of New South Wales
- University of Sydney
- Indiana University
- University of Nottingham
- University of Oxford
- Carnegie Mellon University
- UCL;
- University of Leeds
- Flinders University
- The University of Queensland
- UNIVERSITY OF SOUTHAMPTON
- University of Leeds;
- University of Texas at Austin
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- CRANFIELD UNIVERSITY
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Ryerson University
- Singapore University of Technology & Design
- University of Otago
- Auburn University
- Cranfield University;
- King Abdullah University of Science and Technology
- Lawrence Berkeley National Laboratory
- The University of Alabama
- The University of Southampton
- Trinity College Dublin
- University of Agder
- University of Maryland, Baltimore
- Villanova University
- Deakin University
- James Cook University
- Missouri University of Science and Technology
- Queen's University Belfast;
- Stony Brook University
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SURREY
- University of Bergen
- University of Colorado
- University of Exeter;
- University of Kansas Medical Center
- University of London
- University of North Carolina at Charlotte
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- American University
- Brown University
- CSIRO
- Charles Sturt University
- Colgate University
- Cornell University
- Ghent University
- Lincoln University
- Northeastern University
- The University of Iowa
- The University of Western Australia
- Tulane University
- UiT The Arctic University of Norway
- Ulster University;
- University of Antwerp
- University of Birmingham;
- University of Cambridge
- University of Hertfordshire;
- University of Oxford;
- University of St Andrews;
- University of Stirling;
- University of Virginia
- University of Zurich
- Vanderbilt University
- Yeshiva University
- Zukunftskolleg, University of Konstanz
- ;
- AUCKLAND UNIVERSITY OF TECHNOLOGY
- Aarhus University
- Atlantic Technological University;
- Barnard College
- Basque Center for Macromolecular Design and Engineering POLYMAT Fundazioa
- Belmont University
- CICERO Center for International Climate Research
- CMI - Chr. Michelsen Institute
- Cardiff University;
- Case Western Reserve University
- Center for Devices and Radiological Health (CDRH)
- Centro de Engenharia Biológica da Universidade do Minho
- Cold Spring Harbor Laboratory
- 90 more »
- « less
-
Field
-
statistical and machine learning modeling to conduct data analyses for large-scale multimodal (genomics, omics etc) studies. Conceptualise new ideas, lead data-driven discoveries, ensuring in-depth assessment
-
application of innovative Machine Learning (ML) frameworks to understand and predict the global hydrological cycle. The role will require bridging the gap between process-based physical modeling and scalable
-
What You’ll Need: PhD in computer science, artificial intelligence, machine learning, computational biology, biomedical engineering, or a closely related quantitative field. Strong foundation in modern
-
’. The role-holder will work closely with medicinal chemists at University of Oxford and pharmacologists at University of Glasgow, applying virtual screening, machine learning, AI-driven generative chemistry
-
and Knowledge: Experience in computational catalysis and surface science. Preferred Qualifications: Knowledge of kinetic modeling and/or machine learning interatomic potentials. Background Investigation
-
Computer Science, Artificial Intelligence, Software Engineering, or a related field. Strong programming proficiency in Python and/or C++. Demonstrable experience with machine learning frameworks (e.g., PyTorch
-
. This project will involve applying and evaluating statistical and machine learning models for data integration and interpretation. A strong foundation in statistical modeling will be essential for applications
-
a Research Fellow to contribute to a project focused on focused on data-driven discovery of atomic catalysts. Key Responsibilities: Theoretical predictions using DFT and machine learning, and
-
engineering or related field At least 1 year of relevant experience in signal processing and machine learning. Good written and oral communication skills Proficiency in ANSYS, and lab test skill Ability to work
-
behaving mice, and advanced modeling + machine learning analyses. Please read more about our research at www.apostolideslab.org . Key questions we want to answer are: How do neural circuits extract