Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Published yesterday
- Eindhoven University of Technology (TU/e)
- DIFFER
- Erasmus University Rotterdam
- Radboud University
- University of Groningen
- DIFFER; Eindhoven
- Eindhoven University of Technology (TU/e); yesterday published
- Utrecht University
- DIFFER; Published yesterday
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); Published today
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e); Published today
- Erasmus University Rotterdam (EUR); yesterday published
- Maastricht University (UM)
- NIOZ Royal Netherlands Institute for Sea Research
- Radix Trading LLC
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Center Utrecht (UMC Utrecht); Published yesterday
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); yesterday published
- University of Twente
- University of Twente (UT)
- University of Twente (UT); Published today
- Utrecht University; Utrecht
- Utrecht University; today published
- Utrecht University; yesterday published
- Vrije Universiteit Amsterdam
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Amsterdam (VU); Published today
- Wageningen University and Research Center
- 23 more »
- « less
-
Field
-
PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
Positive tipping points in the innovation and diffusion of clean energy technologies can greatly accelerate progress towards a net-zero energy system. Yet, their emergence and timing remain difficult
-
researcher. Job requirements You thrive on conducting research geared to accelerating the future of port operations. Working in the field of data science, your analytical skills are well honed. To achieve
-
will investigate novel frameworks to accelerate SRS in HPC environments. The PhD candidate will work at the Ship Hydrodynamics section of the Department of Maritime and Transport Technology (Faculty
-
-of-life PV modules. Thus, research into PV modules designed for cricularity is needed. Research questions/aims: In this project, we aim to accelerate the development of novel liquid-filled circular PV
-
PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
in the innovation and diffusion of clean energy technologies can greatly accelerate progress towards a net-zero energy system. Yet, their emergence and timing remain difficult to anticipate and manage
-
you need to develop and grow as a researcher. Job requirements You thrive on conducting research geared to accelerating the future of port operations. Working in the field of data science, your
-
methods and data-driven modelling techniques, the PhD candidate will investigate novel frameworks to accelerate SRS in HPC environments. The PhD candidate will work at the Ship Hydrodynamics section
-
economic development objectives with adaptation to accelerating physical climate risks, as households-voters decide where to live given their preferences for public adaptation. To explore the emergence
-
characteristics. Moreover, EN measures passively and continuously, making it very suitable for permanent monitoring or as an accelerated testing method. The effectiveness of EN depends on effective data analysis
-
Join TU Delft and work together with NXP to build low-power AI accelerators for self-healing analog/RF calibration, fixing noise/offset. Co-design algorithms & hardware and validate on real silicon