11 formal-method-phd Postdoctoral research jobs at Delft University of Technology (TU Delft) in Netherlands
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‑efficient to meet climate targets and address the economic challenges facing the sector. This postdoc position will develop circular design principles and methods in a project aiming to design an innovative
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to develop generative AI methods for nanoparticle drug delivery design, at the intersection of machine learning, explainability, and pharmaceutical nanotechnology. Job description We are looking for a
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(an initial) 3 years. Within the Flack group, you will develop tools and methods for epigenetic editing, and use these to engineer bovine satellite cell lines with a variety of new and improved phenotypes
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technologies. Synthesis will be carried out mainly using mechanochemical methods, while characterization will involve a combination of electrochemical impedance spectroscopy (EIS), solid-state nuclear magnetic
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environment that encourages innovation, teamwork, and professional development. If you are motivated to apply advanced numerical methods to real-world structural challenges and contribute to the sustainable
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requirements We look forward to dynamic candidates that want to get their hands onto a real mission and bring a contribution to society. You also have: A PhD in engineering (computer science, aerospace
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multimodal modeling, interaction design, and adaptive systems. Job requirements We are looking for applicants who have or expect to receive a PhD degree before joining the project. Applications have a relevant
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collaboration with a PhD student at the faculty of Industrial Design Engineering of TU Delft. You will be working on the sensing system in the armband. This will include the sensing yarn, a microfluidics system
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modelling efforts carried out by two PhD researchers. The role includes substantial fieldwork: at least two month long campaigns and 1–3 maintenance visits over 18 months. Experience in (Southern) Africa is a
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neuroimaging frontier! Job description Understanding how the brain works is one of the most profound scientific challenges of our time. To that end, the development of new imaging methods is one of the most