Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- University of Amsterdam (UvA)
- University of Groningen
- Wageningen University & Research
- Vrije Universiteit Amsterdam (VU)
- Leiden University
- European Space Agency
- University of Twente (UT)
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
- Maastricht University (UM)
- Radboud University
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- University of Twente
- University Medical Center Utrecht (UMC Utrecht)
- Naturalis
- Radboud University Medical Center (Radboudumc)
- University of Utrecht
- ARCNL
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus University Rotterdam (EUR)
- NIOZ Royal Netherlands Institute for Sea Research
- Princess Máxima Center for Pediatric Oncology
- SRON
- Tilburg University
- Universiteit Leiden
- University Medical Centre Groningen (UMCG)
- 18 more »
- « less
-
Field
- Computer Science
- Engineering
- Biology
- Economics
- Chemistry
- Medical Sciences
- Earth Sciences
- Psychology
- Science
- Materials Science
- Mathematics
- Philosophy
- Sports and Recreation
- Humanities
- Physics
- Arts and Literature
- Business
- Education
- Environment
- Social Sciences
- Design
- Electrical Engineering
- Law
- Statistics
- 14 more »
- « less
-
to damage or loss data; Experience with programming (Python or R) and working with large datasets; Ability to design and evaluate field experiments or quasi‑experimental studies is an asset; Strong written
-
theory. At the same time, quantum experiments with large masses are an outstanding challenge, and will be crucial in addressing how gravity and quantum mechanics can be combined. In the project, you will
-
structure modeling in cancer immunotherapy design. Profile A — AI PhD in machine learning, computer science, computational science, or a related field. Strong experience with deep learning (e.g., PyTorch
-
expression machinery) prevents a trial-and-error approach where the complete experimental space can be explored such that a large number of experiments will include the correct solution to the problem. You
-
laboratory experiments to build an eMRV framework supplementing traditional MRV. Observational approaches include deployment of passive chemical samplers, quantifying organic matter export, examining eDNA
-
journals. Your qualities You have a strong background in data science and experience applying machine learning and other AI techniques. You are interested in applying these techniques to physical systems, in
-
set of stakeholders on designing a generalizable solution. You should also have: a recent PhD in Computer Science or Engineering, Information Studies, Human-Technology Interaction or similar; experience
-
field, with strong skills in data engineering and quantitative modelling. Experience with autonomous shipping, port logistics or decision-support systems is an additional advantage. You will formulate and
-
, followed by extensive quantum-optical characterization after fabrication. The experimental work will be performed in close collaboration with colleagues in the Applied Nanophotonics (ANP) department
-
experimental, technical and interdisciplinary in nature. That is why we collaborate extensively with leading scientific institutes and industry. The faculty has more than 8,000 students studying in one of the 39