Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- Forschungszentrum Jülich
- Technical University of Munich
- Delft University of Technology (TU Delft)
- Linköping University
- NTNU Norwegian University of Science and Technology
- KU LEUVEN
- CNRS
- INESC TEC
- Instituto de Telecomunicações
- Eindhoven University of Technology (TU/e)
- Inria, the French national research institute for the digital sciences
- Instituto Superior Técnico
- Nature Careers
- Umeå University
- Universidade de Coimbra
- Leibniz
- SciLifeLab
- Tallinn University of Technology
- University of Antwerp
- University of Oslo
- Uppsala universitet
- Wageningen University & Research
- Aalborg Universitet
- Aalborg University
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- BRGM
- FEUP
- Iquadrat Informatica SL
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- NTNU - Norwegian University of Science and Technology
- The University of Manchester
- UiT The Arctic University of Norway
- University of Porto
- 3rdplace
- Blekinge Institute of Technology
- Build to Zero S.L.
- Centrale Supelec
- Chalmers University of Technology
- Cranfield University
- Deutsches Elektronen-Synchrotron DESY •
- Dublin City University
- ESS - Escola Superior de Saúde
- ETH Zürich
- EURAXESS
- Ecole Centrale de Lyon
- Edge Hill University
- Eindhoven University of Technology
- Faculty of Science, Charles University
- Ghent University
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Hereon
- IMDEA Networks Institute
- INESC ID
- INRIA
- IS-Wireless (ISRD Sp. Z O.O)
- Imperial College London
- Industrial Systems Institute (ISI)
- Inserm UMR-S 1250
- Institute of Low Temperature and Structure Research Polish Academy of Sciences
- Institute of Measurement Science, Slovak Academy of Sciences
- Institute of Physics Slovak Academy of Sciences
- Instituto Politécnico de Coimbra
- Instituto Superior de Agronomia
- Instituto de Engenharia Mecânica
- Karolinska Institutet, doctoral positions
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- Linköpings universitet
- Maastricht University (UM)
- Max Planck Institute for Molecular Genetics •
- Monash University
- Murdoch University
- NOVA Information Management School (NOVA IMS)
- NVIDIA Denmark
- Nantes Université
- Newcastle University;
- Oxford Brookes University
- PHAETHON Centre of Excellence
- Radboud University
- Slovak University of Agriculture in Nitra
- Sorbonne Université, CNRS, Inserm
- TU Dortmund
- Technical University Of Denmark
- Tilburg University
- UCL
- UNIVERSITY OF VIENNA
- Umea University
- Universidade do Minho - ISISE
- Universitat Internacional de Catalunya
- Universitat Politècnica de València
- University College Cork
- University College Dublin
- University of Amsterdam (UvA)
- University of Bologna
- University of Borås
- University of Cambridge
- University of Cyprus
- University of Galway
- University of Luxembourg
- University of Nottingham
- 90 more »
- « less
-
Field
-
management systems (BMS). Ability to develop and implement algorithms for modelling, estimation, or control applications. Strong analytical thinking, problem-solving ability, and capability to conduct
-
to the academic development of the Programming area within the Programme and participate in high-quality research activities in areas related to theoretical computer science, algorithms, data structures
-
experimental settings. In addition to fieldwork, the PhD candidate will contribute to the development of novel inversion algorithms for EMI and GPR based on full-waveform inversion techniques. These methods aim
-
reconstruction to overcome these challenges. Your tasks - develop physics-informed, self-supervised learning approaches for phase retrieval - implement reconstruction algorithms on HPC clusters for large-scale
-
tomography and local adaptive reconstruction to overcome these challenges. Your tasks develop physics-informed, self-supervised learning approaches for phase retrieval implement reconstruction algorithms
-
numerical modeling and validation of brain-inspired algorithms Develop circuit-plausible training and inference algorithms, and analyze their behavior in LTspice and Cadence Spectre Perform algorithm–circuit
-
for their governing mechanisms? How can we make these model computationally efficient and capable of scaling to large dataset sizes? Scientific challenges for this exciting PhD project include: develop principled
-
validated algorithms. The objective is to identify sensorimotor signatures of fall risk that may improve current predictive models and contribute to the development of more targeted prevention strategies
-
through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
-
application! Your work assignments Spatio-temporal processes are everywhere in science and engineering, with applications ranging from weather prediction to cardiovascular medicine. Developing machine learning