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of the landscape over time. The LANDIS-II forest landscape disturbance and succession model will be used to perform simulations based on palaeoecological data. The student will collaborate with project researchers
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specializes in computer science and, more broadly, in information and communication sciences and technologies (ICST). Its research activities are organized around several major axes: the modeling and
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complementary expertise, using both space and ground-based observations of the solar atmosphere, in-situ measurements from heliospheric probes, in synergy with a complete numerical modeling of the generation and
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metabolism in type I interferonopathies within tissues. Using mouse models of these diseases, we will analyze how metabolic alterations contribute to inflammation and tissue damage. We will generate lipidomic
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network contracts upon local stimuli to orient fluid transport where it is needed. This enables autonomous functionalities without the need for a complex nervous system. These organisms use fluid transfer
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structures. To overcome these problems, aerial vehicles (a.k.a. drones) are an effective solution. Unfortunately, drones can currently transport a limited payload and the complexity of most tasks involving
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since its discovery 150 years ago, due to a lack of model species 2,3. The candidate will use a combination of genetic tools to identify the molecular machinery responsible for chromosome fragmentation in
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observations of the solar atmosphere, in-situ measurements from heliospheric probes, in synergy with a complete numerical modeling of the generation and propagation of solar jets from the solar atmosphere
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performance and portability through an informed implementation of parallel programming models and abstraction layers. - You will develop benchmarks and metrics to assess the performance, scalability, and
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exciton transport to the reaction center or to a donor-acceptor interface, respectively. Characterizing, modeling and improving exciton transport properties in molecular materials remain essential tasks in