Sepinoud Azimi
Top university
4 days ago
PhD Opportunity in Bayesian Modeling and Nanoparticle Transport in Human Tissue at TU Delft Delft University of Technology in Netherlands
Degree Level
PhD
Field of study
Computer Science
Funding
The project SYNERGIE has been selected for funding under Horizon Europe. The post is a four-year PhD position; no stipend amount or tuition details are provided in the post.
Country
Netherlands
University
Delft University of Technology

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About this position
Upcoming PhD opportunity at Delft University of Technology (TU Delft) in Bayesian modeling, nanoparticle transport, and human tissue. The project, SYNERGIE, has been selected for Horizon Europe funding and will launch in January 2027 with a consortium of 13 partners coordinated by Fraunhofer IPT.
The PhD will focus on computational modeling of nanoparticle transport and effects in human tissue, connecting multi-tissue-on-chip experiments into a single model. The research aims to use measurements from one tissue to predict outcomes in another, building on methods for modeling particle movement through biological systems and estimating model parameters from sparse experimental data.
Relevant academic keywords include ODE modeling, Bayesian inference, scientific Python, nanomedicine, organ-on-chip, and computational modeling. The post is especially suitable for candidates with hands-on experience in these methods.
Eligibility highlights: no background in biology or nanomaterials is required. The announcer specifically asks for experience with ODE modeling, Bayesian inference, and scientific Python.
Funding: the project is funded under Horizon Europe. The post indicates a four-year PhD position starting 1 January 2027, but does not provide stipend, tuition, or other financial details.
Application status: the formal call will follow shortly. Interested candidates are encouraged to get in touch with the announcer in the meantime.
Funding details
The project SYNERGIE has been selected for funding under Horizon Europe. The post is a four-year PhD position; no stipend amount or tuition details are provided in the post.
What's required
Applicants should have hands-on experience with ODE modeling, Bayesian inference, and scientific Python. No background in biology or nanomaterials is required. The position is a four-year PhD starting 1 January 2027.
How to apply
The formal call will be published shortly. Interested candidates are invited to get in touch with the announcer now or share the opportunity with others who may be interested.
More information can be found here
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