Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- University of Oslo
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Humboldt-Universität zu Berlin
- University of Algarve
- Harvard University
- Northeastern University
- University of British Columbia
- University of Texas Rio Grande Valley
- INESC ID
- University of New South Wales
- FEUP
- INESC TEC
- Johns Hopkins University
- Loyola University
- Queen's University Belfast
- UCL;
- UNIVERSITY OF HELSINKI
- Carnegie Mellon University
- Centro de Engenharia Biológica da Universidade do Minho
- Francis Crick Institute
- Hanyang University
- Indiana University
- Institut de Recherche pour le Développement (IRD)
- King's College London
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Naturalis
- Oslo University Hospital
- RMIT University
- Rutgers University
- Technical University of Munich
- UCL EE
- UiT The Arctic University of Norway
- Universidade do Minho
- University College London (UCL)
- University of Basel
- University of Bergen
- University of British Columbia Department of Surgery
- University of Nottingham
- University of Nottingham;
- University of Rhode Island
- University of Texas at Austin
- Western Norway University of Applied Sciences
- Zintellect
- 35 more »
- « less
-
Field
-
assessment criteria: • Academic background of the candidate: PhD in Computer Engineering / Computer Science (5 points); PhD in related fields (2 points); • Participation in R&D projects in a field relevant to
-
, and support research project execution and reporting. Job Requirements: A completed PhD in Electrical Engineering, Computer Engineering, Computer Science, or a closely related discipline. Strong
-
railway infrastructure and natural hazards along the Ofoten Line. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25
-
of Biomedical Engineering & Imaging Sciences at King's College London. You will become part of a multidisciplinary team of physicists, computer scientists, AI engineers, radiochemists, and biologists, with access
-
instrumentation, physical modelling, sensor technology, or experimental validation is advantageous. Experience with three-dimensional modelling, computer-aided design (CAD), or additive manufacturing (3D printing
-
a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
-
, such as computer science, neuroscience, engineering, physics, applied mathematics (or be near to completion of their PhD). Skills in computer programming (especially Python or C++ or Matlab) and
-
, such as computer science, neuroscience, engineering, physics, applied mathematics (or be near to completion of their PhD). Skills in computer programming (especially Python or C++ or Matlab) and
-
, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers
-
laboratory position that will require fellows to work at both the bench and the computer. The successful candidate will work with a talented group of students, fellows, and research scientists to develop