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- Eindhoven University of Technology (TU/e); Published yesterday
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- Erasmus MC (University Medical Center Rotterdam); Published yesterday
- Erasmus MC (University Medical Center Rotterdam); yesterday published
- Erasmus University Rotterdam (EUR); Published today
- Erasmus University Rotterdam (EUR); yesterday published
- Leiden University; today published
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- Maastricht University (UM); 7 Oct ’25 published
- Maastricht University (UM); today published
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- Radboud University Medical Center (Radboudumc)
- Radboud University Medical Center (Radboudumc); Published today
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- University Medical Centre Groningen (UMCG); Published yesterday
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- University of Amsterdam (UvA); Published 21 Nov ’25
- University of Amsterdam (UvA); Published 28 Nov ’25
- University of Amsterdam (UvA); yesterday published
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- University of Twente (UT); today published
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- Utrecht University; today published
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- Wageningen University & Research; Published 28 Nov ’25
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Field
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: unstable, part-time, ill-defined” available. Project description Over 90% of today’s organizations rely on teamwork, investing billions of euros in team development each year. Most of the knowledge
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in high-performance computing using MPI. Experience in GPU programming using OpenACC, CUDA, CUDA-Fortran, Julia, or related tools. Experience in CFD meshing software. TU Delft (Delft University
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recommended. Other valuable skills include: Experience in high-performance computing using MPI. Experience in GPU programming using OpenACC, CUDA, CUDA-Fortran, Julia, or related tools. Experience in CFD
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, enabling in-depth profiling of tumour biology. A major component of your work will be to establish intratumoral heterogeneity maps using spatial proteomic profiling, including the use of laser capture
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for GIS, cartographic maps, geodata infrastructures and geo-analytical workflows; some experience with AI and machine learning methods to label texts (NLP) or data sources; strong programming skills (e.g
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implement proteomic workflows tailored for highly limited, heterogeneous samples, enabling in-depth profiling of tumour biology. A major component of your work will be to establish intratumoral heterogeneity
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Erasmus MC (University Medical Center Rotterdam); Published yesterday | Netherlands | about 2 months ago
advanced psychometric methods such as Item Response Theory. Providing recommendations to ensure EORTC’s quality-of-life measures optimally serve regulators, payers, and clinicians for labeling, reimbursement
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. Perform protein interaction studies to unravel mechanisms by which viruses induce morphological changes in host cells. Use sequence specific fluorescent labeling to follow virus infection in a time resolved
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workflows; some experience with AI and machine learning methods to label texts (NLP) or data sources; strong programming skills (e.g., Python, RDF) and some skills in web-based data retrieval; good English
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large number of distinct but interacting components. These projects address these challenges by contributing to the development of a control theory that is inherently modular, i.e., that allows