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Join our group to unlock ultrasound imaging inside bones! Job description Our group aims to unlock ultrasound imaging inside bones. Our ambition is to develop operator-independent approaches
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impact on critical infrastructure. It will involve the simulation of various complex high-stakes cyber-threat scenarios to help train individuals in decision-making, strategy formulation, and teamwork. By
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will devote attention to your onboarding. If some of the work activities are new to you, we will look together at what you need, and draw up a development plan. This position is a good fit for you if you
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for Mathematics and Computer Science (CWI). QuSoft’s mission is to develop new protocols, algorithms and applications that can be run on small to full-scale prototypes of a quantum computer. QuSoft has over 30 full
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) machine learning. The project will focus on one or a combination of the following focus areas, tailored to the candidate’s expertise and interests: Developing numerical models for the coupled mechanical
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or transformed from other maps. The ERC funded project GeoTrAnsQData project addresses this by developing a GeoQA method that converts questions into executable geo-analytical workflows, turning geodata into new
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Unlock how geographic data can answer complex societal questions: in this PhD you develop semantic and AI-driven models that transform diverse geodata into actionable answer maps. Join our ERC-funded
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environment where diverse perspectives are valued, and where you will receive full support to develop your skills and expertise, including mentoring, opportunities to co-supervise students, and access to TU
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developments, and political conflicts in the desert areas of the MENA region. This call is a follow-up to On Thirst and Mirage: Rethinking the Desert symposium (2025) and research project (2023) that has been
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in Compromised Environments Our goal: Advance regenerative medicine by developing in silico models that reveal how bone regenerates including how this process changes in compromised biological