Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- University of Twente
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- University of Twente (UT)
- Erasmus University Rotterdam
- Maastricht University (UM)
- Amsterdam UMC
- Delft University of Technology
- NIOZ Royal Netherlands Institute for Sea Research
- NLR
- Radboud University
- Radboud University Medical Center (Radboudumc)
- 5 more »
- « less
-
Field
-
MERLN Institute at Maastricht University. What if you could teach a biomaterial to heal bone by delivering the molecular instructions directly to cells? This PhD project explores exactly that question
-
PhD position ‘Courage to Correct: Balancing Error Prevention and Learning in Strategic Crisis Teams’
, Learning, and Health – we empower students and researchers to make a positive societal impact. At BMS, we combine critical thinking with practical action. From advancing sustainable mobility with innovations
-
infections and vaccination strategies in farm and laboratory animals; design immunological study plans (e.g. T cell phenotyping, intracellular cytokine staining, immune correlates of protection) and translate
-
Digital Twins: You will use numerical tools, including COMSOL and the open-source HemoCell simulation package, to model cell-scale thrombus formation. Experimental Validation: You will not just code; you
-
for single-cell and spatial omics Deep learning and representation learning to model cellular states and interactions Explainable AI for biomarker discovery and patient stratification Cross-disease modeling
-
Amsterdam Rotterdam); teach seminars and/or practical for bachelor and master students; supervise bachelor and master student projects; present data at local, national and international scientific meetings
-
degree in Biomedical Sciences, Molecular Biology, Physiology, or a related field. Affinity with stem cell and cardiac biology – You have experience with, or a strong desire to learn, hiPSC culture
-
PhD position: Global soil mapping with process-informed machine learning Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline
-
to learn more about the project, and perhaps our group? Feel free to browse our webpages: About our department: QCE department . About our group: Computer Engineering Lab . Job requirements For this position
-
candidate, you are at the core of the project. You will perform all wet lab analyses using advanced techniques such as cell culture, reporter analyses and RNA-sequencing. You will perform the data analysis