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further develop our quantum simulation/computing approach. This includes experimental work with the tweezer machine, such as debugging and data taking, designing and constructing upgrades to the machines
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will include operating atmospheric instrumentation, ensuring data quality and analyzing large observational datasets. This role involves combining practical, hands-on instrumentation with data-driven
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Work on globally unique experimental data to shape understanding of tsunami inundation of coastlines and interaction with buildings. Job description Tsunami engineering is a field that has grown
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information about our research group can be found at: https://autonomousrobots.nl/ Job requirements We are looking for a candidate with: A PhD degree in Robotics, Control, Aerospace Engineering, Mechanical
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national center for biodiversity information. Among other things, Naturalis runs large-scale ML services for nature recognition, including bioacoustics algorithms developed in the team. What you will do
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succesful candidate has the following qualifications: An PhD degree in either applied physics, chemical engineering, mechanical engineering or a similar field Profound knowledge of thermodynamics and/or fluid
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. Furthermore, you meet the following requirements: You hold a PhD degree in Materials Science and Engineering, Physics, Chemistry, or a closely related discipline. You have a strong expertise in atomistic and
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the lab of dr. ir. M. Peirlinck in the Department of BioMechanical Engineering at TU Delft. Our group combines nonlinear mechanics, computational modeling, experimental and clinical data, and machine
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synchronized to each patient's evolving gait dynamics as they recover. You will: Retrain an IMU-based gait-detection algorithm using stroke-patient data Run patient panels with stroke survivors, with a PhD
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remote sensing data. What you will do Changing fire dynamics will be studied using a Dynamic Global Vegetation Model (DGVM), allowing us to quantify different mechanistic processes. Using high-resolution