Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- University of Twente (UT)
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- European Space Agency
- Leiden University
- University Medical Centre Groningen (UMCG)
- University of Amsterdam (UvA)
- University of Groningen
- ARCNL
- Radboud University
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- University Medical Center Utrecht (UMC Utrecht)
- 4 more »
- « less
-
Field
-
expression systems and/or liposomes. You take an interest in liquid handling robots, Python and Bayesian optimisation. You are a team player and enjoy working in a multidisciplinary environment. You have a
-
. Facilitating knowledge exchange between researchers, experts, stakeholders and policymakers through stakeholder workshops. Disseminating best practices via communication strategies that target experts, policy
-
-regulatory elements and transcription factor genes that control key physiological pathways to specifically adjust targeted gene expression to reshape complex traits. The project will develop a breakthrough
-
groups. The theoretical methods include stochastic modelling, MD simulation, and Bayesian inference; the position will also include joint collaborative projects with other group members and our
-
theoretically, in tight collaboration with experimental groups. The theoretical methods include stochastic modelling, MD simulation, and Bayesian inference; the position will also include joint collaborative
-
an advantage: Rodent social behaviour, empathy-related behaviour, aggression, fear, or reinforcement learning tasks. Computational modelling, Bayesian statistics, reinforcement learning models, or model-based
-
of neural networks, information-theoretic and optimal-transport perspectives on representation and generalisation, probabilistic numerics and Bayesian deep learning, and emerging frameworks for scientific
-
structures, targeting improved optical confinement, passivation, and loss control in nanoscale photonic devices. In this project, you will be embedded in the PhotonDelta NGF program. Agentic AI for ALD
-
. Experience with uncertainty quantification, Bayesian inference, inverse modelling, parameter estimation, or model calibration. Experience with high-performance computing, surrogate modelling, reduced-order
-
to specifically adjust targeted gene expression to reshape complex traits. The project will develop a breakthrough science-enabled technology platform to improve tomato heat, drought and nutrient deficiency