Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- Technical University of Munich
- SciLifeLab
- ;
- Curtin University
- Technical University of Denmark
- DAAD
- Nature Careers
- Susquehanna International Group
- Leibniz
- Lulea University of Technology
- Chalmers University of Technology
- Fraunhofer-Gesellschaft
- Ghent University
- University of Southern Denmark
- University of Utah
- ; The University of Manchester
- ; University of Warwick
- CWI
- Carnegie Mellon University
- Forschungszentrum Jülich
- Monash University
- Radboud University
- Radix Trading LLC
- Temple University
- University of British Columbia
- University of Luxembourg
- University of Newcastle
- Utrecht University
- Vrije Universiteit Brussel
- ; Brunel University London
- ; Coventry University Group
- ; Cranfield University
- ; Newcastle University
- ; University of Exeter
- ; University of Leeds
- ; University of Nottingham
- ; University of Southampton
- ; University of Surrey
- Aalborg University
- Abertay University
- Copenhagen Business School , CBS
- Duke University
- Imperial College London
- Leiden University
- McGill University
- NTNU - Norwegian University of Science and Technology
- National Institute for Bioprocessing Research and Training (NIBRT)
- National Research Council Canada
- Norwegian Meteorological Institute
- Queensland University of Technology
- Singapore Institute of Technology
- Swinburne University of Technology
- The University of Alabama
- University of California Irvine
- University of Florida
- University of Groningen
- University of Nottingham
- University of Sheffield
- University of Southern Queensland
- University of Texas at El Paso
- University of Vienna
- 52 more »
- « less
-
Field
-
, supporting studies in military aircraft systems. Engaging with these facilities allows students to acquire practical skills and technical expertise, enhancing their research capabilities and employability in
-
and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
-
Appropriate computational skills and knowledge of programming languages (Python, C++, etc.) Experience with Machine and Deep Learning models and software (Keras, Scikit-Learn, Convolutional Neural Networks, etc
-
to achieve, at least a 2.1 honours degree or a master’s in a relevant science or engineering related discipline. Applicants should have strong background in Machine Learning and Deep Learning. To apply, please
-
networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our
-
., health and climate/environmental data) and could include a range of data science methods, such as utilising geographical information systems (GIS), statistical analysis, machine learning, deep learning
-
innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry tools
-
SIT's mission is centred on nurturing industry-ready graduates who possess deep technical expertise and transferable skills to address future challenges. We collaborate with industry in our
-
: Develop innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry
-
spectrum, in topics in virology and immunology, and currently specializes in computational biology focusing on developing methods and applications of deep learning for protein sequence and structure, as