Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- University of Twente
- European Space Agency
- Erasmus University Rotterdam
- Wageningen University & Research
- Maastricht University (UM)
- Radboud University
- Radboud University Medical Center (Radboudumc)
- University of Amsterdam (UvA)
- University of Twente (UT)
- Eindhoven University of Technology (TU/e)
- Leiden University
- University Medical Center Utrecht (UMC Utrecht)
- Amsterdam UMC
- Delft University of Technology
- Eindhoven University of Technology
- Keygene
- Max Planck Institute for Psycholinguistics
- NIOZ Royal Netherlands Institute for Sea Research
- NLR
- Nature Careers
- 12 more »
- « less
-
Field
-
Learning & Development programmes, and interdisciplinary research themes – including Emerging Technologies & Societal Transformations, Resilience, Smart Industry, Learning, and Health – we empower students
-
Learning & Development programmes, and interdisciplinary research themes – including Emerging Technologies & Societal Transformations, Resilience, Smart Industry, Learning, and Health – we empower students
-
to develop generative AI methods for nanoparticle drug delivery design, at the intersection of machine learning, explainability, and pharmaceutical nanotechnology. Job description We are looking for a
-
PhD position: Global soil mapping with process-informed machine learning Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline
-
full projects, followed by the analysis, interpretation and reporting of data and results. You will pro-actively promote proteomics services and acquire new collaborative projects. The projects will vary
-
-cell transcriptomics, or spatial tissue profiling data, and are keen to develop new methods, for example using machine learning. You have a proven track record of independent research funding and high
-
that will employ a wide range of methods, including biochemical, biophysical, cell biological, computational, and genetic approaches. This cutting-edge research spans from computational analyses and single
-
to learn more about the project, and perhaps our group? Feel free to browse our webpages: About our department: QCE department . About our group: Computer Engineering Lab . Job requirements For this position
-
candidate, you are at the core of the project. You will perform all wet lab analyses using advanced techniques such as cell culture, reporter analyses and RNA-sequencing. You will perform the data analysis
-
flexible and driven researcher with a (recent) PhD, preferably in virology, veterinary sciences, or a related biomedical field. You are accustomed to working in an interdisciplinary team, learn quickly and