Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Denmark
- ETH Zurich
- Duke University
- Chalmers University of Technology
- Aalto University
- AALTO UNIVERSITY
- Carnegie Mellon University
- University of Southern Denmark
- Fraunhofer-Gesellschaft
- Ghent University
- Susquehanna International Group
- University of Lincoln
- University of Sheffield
- AcademicMed
- Aston University
- Cranfield University
- EPFL
- European Space Agency
- Helmholtz Association of German Research Centres
- Inria
- Nanyang Technological University
- National Aeronautics and Space Administration (NASA)
- Office of the Commissioner (OC)
- Technical University of Denmark (DTU)
- University of Basel
- University of California, Los Angeles
- University of Copenhagen
- University of Leeds
- University of New Mexico
- University of Nottingham
- University of Toronto
- University of Twente
- 22 more »
- « less
-
Field
-
near completion) in Computer Science, Software Engineering, Informatics, Information Systems, or a closely related discipline. A strong theoretical and practical foundation in machine learning is
-
engineering, or performance and energy modeling. Strong software engineering skills: you design APIs and schemas, build tools that others use, and integrate heterogeneous components. Experience with co
-
SDU Life Cycle Engineering at the Department of Green Technology. The research environment conducts interdisciplinary research on the global and systemic interactions between materials, technologies
-
between DTU Construct and DTU Physics. Our group is a global leader in the field of metal plasticity. DTU Physics invented the synchrotron-based imaging technique Dark-Field X-ray Microscopy and together
-
Development of closed-loop ultrasound neuromodulation systems Design of custom hardware and software Electrophysiology and multimodal neurophysiology Rodent and large-animal neuroscience experiments
-
, artificial intelligence, digital forensics, and complex software systems. What you will do Take courses at an advanced level within the Graduate school of Computer Science and Engineering . Develop
-
Overview At Susquehanna, quantitative researchers tackle challenging data and algorithmic problems that inform decision-making in global financial markets. Their work spans statistical inference
-
problem: nonlinear, high-dimensional models with uncertain parameters that must be fitted to noisy data, and simulations so expensive that fitting them demands new algorithms and scalable software
-
tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 16 000 students, 446 professors and 5200 employees working on our dynamic campus in Espoo
-
themselves, for us and for the markets of today and tomorrow. Call for applications for the field of study such as: Computer Science, Software Engineering, Mechanical Engineering, Mechatronics or similar