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and (PBPK) modeling to understand the biological underpinnings will be used. You will work on a highly multidisciplinary project that aims at the development of ‘fit for purpose’ immune therapy PET
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Job description We are seeking a highly motivated PhD candidate to join our research group in the field of piezoelectric microsystems. The successful candidate will work on the design, modelling
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. However, while the leaky integrate-and-fire (LIF) neuron is the current de-facto neuron model in neuromorphic hardware, it embeds only one single time constant limited to a few tens of milliseconds
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of responsibility, you will help shape the future of the department. Please note that we are also looking for an Assistant Professor in Mathematical Modelling. More information about this position is available on our
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of options when it comes to secondary employment conditions. Within our terms of employment individual choices model, you can think of exchanging leave days and/or salary for benefits such as an advantageous
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development plan. This position is a good fit for you if you recognise yourself in the following: A Master’s, PhD preferred, or equivalent academic degree in Chemistry, Biology, or Bio-Pharmaceutical Sciences
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concretes based on CO₂-sequestered magnesium silicates. The research will combine experimental investigations with numerical modeling to understand hydration, microstructure formation. In addition
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V2G solutions can support sustainable urban mobility and grid flexibility. Working at the intersection of transportation and energy systems, you will combine transport simulation models (e.g., SUMO
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-of-the-art models in marketing science, economics, psychology, and computer science literatures relevant to understanding the phenomena. Identifying the fundamental variables, trade-offs and relationships
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Postdoctoral Researcher in Gravitational Wave Astroparticle Physics (GRAPPA, University of Amsterdam
Bertone? GRAPPA is looking for an ambitious Postdoctoral researcher. The successful candidate will help advance theory and computational modelling of compact binaries in astrophysical/dark matter