Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- ;
- Susquehanna International Group
- Technical University of Munich
- DAAD
- Carnegie Mellon University
- Imperial College London
- Radix Trading LLC
- The University of Chicago
- University of Cambridge
- University of Minnesota
- University of Tübingen
- Aarhus University
- Arizona State University
- Binghamton University
- Brookhaven Lab
- Cornell University
- Fraunhofer-Gesellschaft
- Leibniz
- McGill University
- National Institute for Bioprocessing Research and Training (NIBRT)
- Nature Careers
- Northeastern University
- OsloMet
- Technical University of Denmark
- The University of Iowa
- University of California Irvine
- University of Liverpool
- University of Luxembourg
- University of Newcastle
- University of Utah
- Vrije Universiteit Brussel
- 21 more »
- « less
-
Field
-
Europe | 19 days ago
manufacturing, development of machine learning algorithms and design of optical communication networks or power consumption and energy saving. The synergies of MATCH consortium act together to enable the thirteen
-
strong research capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives
-
Previous Job Job Title Research Assistant or PhD Candidate Research Assistant Next Job Apply for Job Job ID 369568 Location Twin Cities Job Family Graduate Assistants Full/Part Time Part-Time
-
We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This
-
spatial omics datasets. The position will also contribute to multi-modal data integration efforts that combine imaging, genomics, and machine learning approaches. Key Responsibilities Data Processing
-
We seek a research assistant for a one-year position, primarily focused on preparing for and, if possible, progressing into a fully funded 3-year PhD fellowship as part of a Novo Nordisk Fonden
-
Academies of Science Engineering and Medicine Workshops. Selected candidates will have the opportunity to train for publishing in leading biomedical journals and machine learning conferences, networking with
-
capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives, including large-scale
-
operational data and machine learning. You will be based at UCL mechanical Engineering, and collaborate with industry and port partners on system design, prototyping, and lab-based trials. Key responsibilities
-
the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission