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-edge in silico, in vitro, and in vivo technologies to understand, predict and treat thrombosis? This is your chance!! Our goal: Develop multi-level thrombosis risk prediction models by integrating
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Job related to staff position within a Research Infrastructure? No Offer Description Do you want to be trained to develop multi-level thrombosis risk prediction models by integrating insights from
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these challenges by: Developing predictive workload, lead-time estimation, material planning models to capture the high variability in HMLV environments using hybrid AI (combining machine learning, feature-based
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in the prediction and modelling of extreme flood events? Do you want to understand how
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. This in turn, will place a biologically important process into global carbon cycle models and thereby improve predictions of the consequences of ongoing CO2 emissions. YOUR ROLE Within this project, you
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disruption of the electrical impulses, and can cause a lethal stop of the heart beat. Prediction whether a newly found gene variation is dangerous or not is difficult and requires a lot of experimental work
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foundation models to run predictably and efficiently on embedded processors and accelerators. FIND is a research program funded by the Dutch government and industry that brings together 5 universities, 11
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sources, and that the operations must be less predictable in their chosen transport means and locations. Thus, the goal is to explore reduced predictability while sustaining the units to be supplied
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of adolescents. How is their mood affected by sleep (deprivation), social media, music and role models? Toenders' research is unique in that she not only views adolescents as research subjects but also involves
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types will change under different climate change scenarios based climate projections. This framework will be ultimately included in a flood prediction model, which will be developed within the VIDI