Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- University of Amsterdam (UvA)
- Delft University of Technology (TU Delft); yesterday published
- University of Groningen
- University of Amsterdam (UvA); Published today
- Delft University of Technology (TU Delft); Published yesterday
- Eindhoven University of Technology (TU/e)
- Leiden University
- Maastricht University (UM)
- Radboud University Medical Center (Radboudumc)
- University Medical Center Utrecht (UMC Utrecht)
- Amsterdam UMC
- Delft University of Technology (TU Delft); 26 Sep ’25 published
- Delft University of Technology (TU Delft); Published 21 Nov ’25
- Delft University of Technology (TU Delft); Published today
- Eindhoven University of Technology (TU/e); Eindhoven
- Leiden University; 's-Gravenhage
- Maastricht University (UM); 18 Oct ’25 published
- Maastricht University (UM); 26 Sep ’25 published
- Maastricht University (UM); Published today
- NIOZ Royal Netherlands Institute for Sea Research
- Princess Máxima Center for Pediatric Oncology
- Princess Máxima Center for Pediatric Oncology; Utrecht
- University Medical Center Utrecht (UMC Utrecht); Utrecht
- University Medical Center Utrecht (UMC Utrecht); yesterday published
- University Medical Centre Groningen (UMCG)
- University of Amsterdam (UvA); Amsterdam
- University of Amsterdam (UvA); Published yesterday
- University of Amsterdam (UvA); today published
- University of Amsterdam (UvA); yesterday published
- University of Groningen; Groningen
- University of Twente
- University of Twente (UT)
- University of Twente (UT); Published yesterday
- Wageningen University & Research
- 26 more »
- « less
-
Field
-
characterisation techniques; You will identify and implement optimal methods for the integration and testing of materials in real-life conditions; You will perform structure-property correlations and unravel
-
strategies (e.g. predictive or machine learning approaches) to improve performance and reduce costs. Collaborating with industrial partners on design optimization, life-cycle analysis, and business case
-
if you: Have a PhD in operations research, industrial engineering, or a related field with a strong background in mathematical modeling and optimization (completed or near completion). Have experience with
-
Village to calibrate and validate models. Investigating control strategies (e.g. predictive or machine learning approaches) to improve performance and reduce costs. Collaborating with industrial partners
-
, high-throughput screening, CRISPR-based functional screening, and patient-derived organoid models. You will work closely with in-house technology platforms, including the Single Cell Genomics Facility
-
-seeking, blood-feeding, and flight patterns of mosquitoes using a combination of laboratory, semi-field, and field approaches. Your work will involve innovative techniques such as 3D flight tracking and
-
, develop innovative therapeutic strategies, and optimize drug delivery to improve human health. Our teams combine expertise in nanomedicine, RNA biology, organoid models, and the tissue microenvironment
-
/pharmaceutical-technology-and-biopharmacy/ ). Researchers at GRIP aim to understand the molecular basis of disease, develop innovative therapeutic strategies, and optimize drug delivery to improve human health
-
methodologies; You will characterise the materials using spectroscopic and surface characterisation techniques; You will identify and implement optimal methods for the integration and testing of materials in real
-
of HBGI interventions at three European sites; · Monitoring of physical, ecological, and social performance compared to traditional grey infrastructure; · Iterative design optimization in