Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Wageningen University & Research
- Maastricht University (UM)
- Leiden University
- Utrecht University
- University of Amsterdam (UvA)
- University of Groningen
- University of Twente (UT)
- Radboud University
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Vrije Universiteit Amsterdam (VU)
- Amsterdam UMC
- Radboud University Medical Center (Radboudumc)
- ARCNL
- DIFFER
- Erasmus MC (University Medical Center Rotterdam)
- HFML-FELIX
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Centre Groningen (UMCG)
- AMOLF
- Amsterdam UMC, location VUmc
- Centrum Wiskunde en Informatica (CWI)
- Delft University of Technology
- Hotelschool The Hague
- Leiden University Medical Center (LUMC)
- Prinses Máxima Centrum
- Sanquin Blood Supply Foundation (Sanquin)
- TU Delft
- University Medical Center Groningen
- 20 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Economics
- Biology
- Materials Science
- Mathematics
- Chemistry
- Linguistics
- Psychology
- Science
- Humanities
- Arts and Literature
- Business
- Earth Sciences
- Design
- Law
- Social Sciences
- Education
- Electrical Engineering
- Environment
- Philosophy
- Physics
- Sports and Recreation
- 14 more »
- « less
-
November 2026. Where to apply Website https://www.academictransfer.com/en/jobs/362992/phd-olfactory-training-for-cogn… Requirements Specific Requirements You hold a Master's degree in one of the following
-
PhD candidate you will develop new ways to extract cosmic-ray physics from KM3NeT data. You will design and characterise reconstruction methods—both machine-learning-based and traditional
-
solutions to important problems of the 21st century. To that end, we educate innovative students in broad Bachelor's and specialist Master's programmes with a strong research component. Our scientists conduct
-
scientific challenges, including how to properly incorporate power systems physics into the foundation AI model architecture, as well as how to develop an architecture that is invariant to the distribution
-
technical issues such as voltage problems and network congestion. The way the flexibility provided by DERs and smart buildings can be exploited (e.g., via local flexibility markets) is still in development
-
Risk (LipidBRIGHT Doctoral Network) Our goal: To train the next generation of scientists who bridge basic, clinical, and translational lipid research to combat cardiovascular disease and related
-
future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which
-
such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting
-
into the complex physics of color centers, and developing technology based on integrated photonic circuits for quantum applications. PhD topics include: Superconducting single-photon detectors on integrated photonic
-
Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills. The TU Delft offers a customisable compensation package, discounts on health insurance, and a