257 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Delft University of Technology (TU Delft)
- Radboud University
- University of Amsterdam (UvA)
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Leiden University
- University of Twente
- Wageningen University & Research
- AcademicTransfer
- Wageningen University and Research Center
- Erasmus University Rotterdam
- Maastricht University (UM)
- Tilburg University
- University of Twente (UT)
- Erasmus MC (University Medical Center Rotterdam)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Amsterdam UMC
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam (EUR)
- European Space Agency
- Radboud University Medical Center (Radboudumc)
- University Medical Center Utrecht (UMC Utrecht)
- ;
- KNAW
- Naturalis
- CWI
- DIFFER
- Dutch Institute for Fundamental Energy Research (DIFFER)
- Eindhoven University of Technology
- NIOZ Royal Netherlands Institute for Sea Research
- Nature Careers
- Nyenrode Business University
- Princess Máxima Center for Pediatric Oncology
- Rijksinstituut voor Volksgezondheid en Milieu (RIVM)
- TU Delft
- Technical University of Delft
- 27 more »
- « less
-
Field
-
programming skills in Python (experience with MATLAB or R is a plus). Proven experience with deep learning and machine learning frameworks (e.g., TensorFlow, PyTorch). Background in computational modeling
-
, mythical scenes of making, or depictions of making in sacred or military contexts). They will take into account (where applicable) how images interact with epigraphic frames and contexts of production and
-
of making in ancient Roman visual culture (e.g. depictions of craftsmen at work, mythical scenes of making, or depictions of making in sacred or military contexts). They will take into account (where
-
As a postdoc, the following is required: You hold a PhD in computer science, epidemiology, econometrics, machine learning, artificial intelligence, mathematics, data science, medical informatics, or a
-
Engineering, Biomedical Engineering or similar with experience in (medical) image analysis and/or machine learning. Affinity or experience with biomedical research (sequencing techniques, hisopathology) is
-
of Computer Science, Computer Engineering, Biomedical Engineering or similar with experience in (medical) image analysis and/or machine learning. Affinity or experience with biomedical research (sequencing techniques
-
with strong expertise in one of these categories: solid-state NMR; Quadrupolar solid-state NMR; Automated NMR analysis & machine learning; Lipid biochemistry (and chromatography knowledge in general
-
which includes your proficiency in both English and Dutch a copy of your PhD thesis or, if it is not yet available, an outline and summary of your thesis and one of your scientific papers. Upload your
-
qualitative research, and preferably knowledge of computational social science methods (e.g., supervised machine learning); An interest in interdisciplinary social scientific research; The ability to work both
-
bioinformatics and proteomics approaches. You will analyze bulk and clonal protein expression data from large melanoma cohorts, integrate molecular, histological, and clinical data through machine learning (ML)/AI