Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); today published
- Utrecht University
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- Wageningen University & Research
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Delft University of Technology (TU Delft); Published yesterday
- Erasmus University Rotterdam
- Erasmus University Rotterdam (EUR)
- Radboud University
- Tilburg University
- University of Amsterdam (UvA)
- Vrije Universiteit Amsterdam (VU)
- Amsterdam UMC
- Amsterdam UMC; Amsterdam
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); 16 Oct ’25 published
- Delft University of Technology (TU Delft); Published today
- Eindhoven University of Technology (TU/e); Published today
- Elestor BV
- KNAW
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- Radboud Universiteit
- Radix Trading LLC
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Universiteit van Amsterdam
- University of Amsterdam (UvA); Amsterdam
- University of Amsterdam (UvA); today published
- University of Groningen
- University of Twente
- University of Twente (UT)
- University of Twente (UT); Enschede
- Utrecht University; Utrecht
- Utrecht University; today published
- Vrije Universiteit Amsterdam (VU); Published today
- Wageningen University and Research Center
- 28 more »
- « less
-
Field
-
, 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
-
(e.g. safety, norms, networks) influence active lifestyles; develop and test physical activity and destination choice models, integrating data from sources such as sensors, surveys, Google Street View
-
, and study how they interact. To achieve this, you will combine electrophysiological techniques, such as patch-clamp analysis and optical mapping, with molecular approaches using human and animal disease
-
be logged, and with which frequency, to map and better understand patients' lived experiences. Moreover, to mitigate user burden, monitoring should occur as minimally obtrusive and as engaging for a
-
broader understanding of how local, community-based organizations can offer solutions for larger societal divides. Using methods such as multi-criteria mapping and participatory action research, you will co
-
optimizing applications for Spatial Devices (HW/SW co-design). Develop and extend simulation or modeling frameworks to support systematic exploration of mapping and scheduling strategies across CPUs, GPUs
-
to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and
-
sustainable plant-based counterparts. Your duties and responsibilities include: use nano-mechanical and -chemical mapping to unravel the structure-function properties of single milk fat globules and plant lipid
-
choice models, integrating data from sources such as sensors, surveys, Google Street View imagery, and microdata (e.g. CBS Lifestyle Monitor, ODIN); use computational and AI-based modelling approaches
-
-chemical mapping to unravel the structure-function properties of single milk fat globules and plant lipid droplets; use super-resolution microscopy to investigate the molecular arrangement on the surface