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The PhD project in which you will be participating aims to develop a fundamental understanding of protein assembly and protein structure formation for the design of artificial meat. Understanding of
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develop prototypes and demonstrators based on usage scenarios from providers and consumers of data assets and data processing services, within the DMI ecosystem in particular. Proposed solutions are to be
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Phd Position in Multiscale Spatiotemporal Modelling of Microbiome During the First 1000 Days of Life
experiments, to develop computational models relying on spatial modelling techniques such as cellular Potts and reaction-diffusion models that capture the interactions between the macroscopic changes in
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the communication in the job application process? Join our PhD project and explore these questions with us! We are looking for a motivated and enthusiastic PhD candidate for the project “Transgender people and the
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behavior under different conditions; Conduct a risk assessment to identify potential hazards and develop safety protocols; Perform an economic analysis to evaluate the costs and benefits of different
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management; develop a computational framework for ensuring accountability in the context of a digital government. This research will be done in collaboration with a PhD candidate from Delft University (TBM
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); integrating theories and methods from educational science, communication science social psychology and pedagogics; using advanced statistical methods to process and analyse data; design and investigate
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Theoretical physics and mathematical physics aims to understand the physical world from first principles. The prominent methods in this area include quantum field theory and string theory. You will
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(1) Algebra, Geometry and Mathematical Physics, (2) Pure, Applied and Numerical Analysis, and (3) Stochastics. It also provides the lecturers and instructors for the mathematics teaching within
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The project you will work on lies on the boundary between AI and theoretical physics. Physics has been a source of inspiration for innovation since the early days of machine learning. In particular