Sort by
Refine Your Search
-
Listed
-
Employer
- University of Groningen
- Delft University of Technology (TU Delft)
- Wageningen University and Research Center
- Radboud University
- Wageningen University & Research
- University of Amsterdam (UvA)
- Utrecht University
- Amsterdam UMC
- ;
- AcademicTransfer
- Erasmus University Rotterdam
- Maastricht University (UM)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Tilburg University
- University of Twente
- CWI
- Eindhoven University of Technology
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam (EUR)
- European Space Agency
- Leiden University
- Naturalis
- Nature Careers
- Technical University of Delft
- University of Twente (UT)
- 15 more »
- « less
-
Field
-
traditional large-sample approaches to study fewer individuals in unprecedented detail, leveraging an already collected rich dataset to better understand individual brain differences in autism. What are you
-
expertise in data science, with hands-on experience in techniques such as machine learning, reinforcement learning, and simulations, and in handling large-scale, within-person, or real-time datasets; A strong
-
Postdoc in computational social choice for large-scale deliberation (1.0 FTE) (V25.0203) « Back to the overview Job description A 2-year postdoc position in computational social choice for digital
-
image analysis (segmentation, statistical feature extraction etc.) The project is part of a larger collaboration involving the Faculties of the University of Twente and a large industrial company
-
uncovering companion biomarkers for precision treatment using cutting-edge bioinformatics and proteomics approaches. You will analyze bulk and clonal protein expression data from large melanoma cohorts
-
bulk and clonal protein expression data from large melanoma cohorts, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML
-
to anchoring. What allowed “things Greek” to be anchored in so many different contexts for such a long period of time. What, in other words, can explain their remarkably, large-scale success? And how and in what
-
a large interdisciplinary consortium of digital democracy researchers as well as several societal partners. The successful applicant is expected to carry out research on the algorithmic foundations
-
’ sending and receiving regions. It uses big data and agent-based modelling to analyse the impact of those changing patterns of spatial mobility on EU regions and envisage policies to counterbalance
-
‘RobotLab’, large numbers of experiments can be carried out, yielding large datasets on properties of molecular systems. With this data, ML models are trained to predict the properties of molecular systems