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you like to contribute to an increased understanding of carbon cycle feedbacks in the climate system? Do you thrive in the dynamic blend of seagoing fieldwork, laboratory experiments and modelling? As a
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, tailored, complex materials such as advanced polymers or polymeric formulations, catalysts, mechatronic devices and software and algorithms. Design, control and modelling and analyses complement
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we will explore two fundamental questions: How did life emerge on Earth, and how common are the conditions elsewhere in the universe? To answer these profound questions, we will take an
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development. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. For international spouses we have set up a dual career programme. Candidates from outside
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network in adversarial situations? How to model the military supply logistics concepts taking into account adversarial actions? What are optimal and robust network topologies for a supply logistics concept
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PhD position - Modelling the emergence of information transfer in prebiotic self-replicating systems
we will explore two fundamental questions: How did life emerge on Earth, and how common are the conditions elsewhere in the universe? To answer these profound questions, we will take an
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the visual system. The goal is to create a robust mechanistic neural network model of the visual system that not only mimics its processing capabilities but also its adaptability, leveraging early
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) based on different climate scenarios. You will perform the model runs, analyse the results, and compare them to firn properties estimated from (airborne) radar observations and weather station
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, applying advanced modeling techniques and analyzing large-scale datasets to contribute to healthcare policy decisions. The PhD project will be supervised by Dr. Nora Franzen and Professor Maarten J. IJzerman
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described in the project overview. Owing to the current composition of the project team, there will be a mild preference for candidates opting for project 2 on “Models and machine learning”. An explanation