Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- University of Groningen
- University of Twente
- Delft University of Technology (TU Delft); today published
- Delft University of Technology (TU Delft); yesterday published
- Erasmus University Rotterdam
- KNAW
- Radboud University
- Wageningen University & Research
- Wageningen University and Research Center
- Amsterdam UMC
- DIFFER
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Delft University of Technology (TU Delft); 3 Oct ’25 published
- Delft University of Technology (TU Delft); Published yesterday
- Eindhoven University of Technology
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Published today
- Eindhoven University of Technology (TU/e); today published
- Eindhoven University of Technology (TU/e); yesterday published
- Elestor BV
- Erasmus MC (University Medical Center Rotterdam); Published 3 Nov ’25
- Leiden University
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- Maastricht University (UM); Published today
- Maastricht University (UM); today published
- Maastricht University (UM); yesterday published
- Tilburg University
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Center Utrecht (UMC Utrecht); Published yesterday
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Published today
- University of Groningen; Groningen
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- 28 more »
- « less
-
Field
-
project, you will develop machine learning models that learn from high-throughput experimental datasets to uncover structure–property relationships and guide the selection of new experiments. The datasets
-
planning. On the customer side, the research will focus on how ESG indicators can be meaningfully embedded into portfolio assessments and risk models. For instance, should a construction firm that actively
-
we address the following steps/questions: Characterize the molecular structure and molecular distribution of suitable polymer pyrolysis waste streams to aid modelling of filler-matrix interfaces
-
brain connectome organization and the integration of this data with recent functional and structural connectome properties and recent evolutionary genetic discoveries, utilizing large-scale bioinformatic
-
ion transport investigations to develop robust 2DHMs. We will synthesize 2DHMs in the form of horizontal and vertical heterostructures, for which reliable structure property correlations will be
-
has a long-term involvement in detector construction (the semiconductor tracker, barrel muon chambers, readout, alignment, and data acquisition). For the phase-2 upgrade (2027-2030), we will instrument
-
will include boosted final states. The analysis strategy is strongly focused on advanced machine learning techniques, developing attention-based transformer models that will directly classify events from
-
opportunity to develop and apply pioneering strategies to study protein lipidation, as well as drug-target engagement and selectivity using advanced chemical proteomics approaches. Your qualities You are a
-
Erasmus MC (University Medical Center Rotterdam); Published 3 Nov ’25 | Netherlands | about 1 month ago
strong focus on the generation and evaluation of structured synthetic health data. You will also explore the application of large language models (LLMs) to healthcare data and terminology systems. Your key
-
to organ-level outcomes. Your research will clarify how dicarbonyl and AGE (advanced glycation end-product) stress contribute to age-related changes in cardiac structure and metabolism and identify potential