Sort by
Refine Your Search
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- Utrecht University
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- Leiden University
- Radboud University
- Amsterdam UMC
- HFML-FELIX
- Maastricht University (UM)
- Vrije Universiteit Amsterdam (VU)
- Radboud University Medical Center (Radboudumc)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- University of Twente (UT)
- ARCNL
- Centrum Wiskunde en Informatica (CWI)
- University Medical Centre Groningen (UMCG)
- Amsterdam UMC, location VUmc
- Erasmus MC (University Medical Center Rotterdam)
- KNAW
- Prinses Máxima Centrum
- Sanquin Blood Supply Foundation (Sanquin)
- Tilburg University
- University of Groningen
- 14 more »
- « less
-
Field
-
will collaborate with a fellow PhD candidate and a postdoctoral researcher on integrating differential privacy into the generative pipeline, balancing privacy guarantees against data utility. You will
-
skills with programming software such as R, Python or Matlab. Professional working proficiency in English, including scientific writing.
-
. Ability to develop, understand, and critically evaluate machine learning research software, preferably using Python and PyTorch. An interest in foundation models, self supervised learning, multimodal
-
differentiating these stem cells into organ specific cell types and 3D organoids together with CRISPR technology, you will study how genetic variants shape cellular responses to chemical exposure. Combined with
-
have: MSc in engineering or similar discipline by the start date of the position Experience with mechanical modeling and simulation Experience in computer programming/scripting (e.g., C++, Python, Matlab
-
programming skills are a plus: MATLAB, Python, Git Fluency in English An open personality and good communication skills in written and spoken English. TU Delft (Delft University of Technology) Working at TU
-
Science, Biostatistics or a closely related discipline; have demonstrable experience with training machine and deep learning models, preferably using Python; have a basic understanding of biology and/or
-
possibly measurements. You will mainly do your programming work in a mixed programming environment, i.e. combining both high-level and low-level programming languages such as Python for the former and
-
in close collaboration with with a postdoctoral researcher and a fellow PhD candidate, you will identify microbial taxa and microbial interactions that are most strongly associated with disease
-
postdoctoral researcher and experts from multiple disciplines, you will integrate proteomics with other advanced molecular datasets to identify novel biomarkers for disease prevention. Your responsibilities