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/357936/phd-in-data-driven-molecular-di… Requirements Specific Requirements To get started in this role at DIFFER, it is important you have: A Master’s degree in computational chemistry, chemical
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. This PhD position focuses on the design of novel computer architectures to enable large AI models to run on embedded and edge systems under strict timing, energy, and memory constraints. Current solutions
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– TSHD) and Jheronimus Academy of Data Science (JADS) host a fully funded PhD position within the NWO-funded project NEPTARGOS – Nautical Empowerment for Proactive Threat Analysis and Resilience with
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nurses to actively mitigate indoor sound exposure. This PhD research envisions the design of an NPICU Data Commons, a digital infrastructure empowering nurses, and potential other key stakeholders
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, are reshaping them. As a PhD candidate you will contribute to this research project by developing and applying AI and Data Science techniques, with a focus on causal modeling and causal learning, to investigate
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fully funded PhD position within the LowDataML doctoral network, focusing on developing innovative machine-learning approaches for drug discovery under low-data conditions. LowDataML aims to bridge
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Vacancies Academic staff Support staff UT Student Jobs UT as employer UT as employer Employment conditions Career and development Pre and onboarding Tenure Track PhD EngD Working as a UT student
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of social networks in reproducing (dis-)advantage across generations. This PhD project focuses on the intergenerational transmission of social networks and is part of the broader NWO-funded research programme
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specialized through efficient fine-tuning and distillation to improve throughput in terms of both compute and data acquisition, while maintaining guaranteed performance on critical failure modes. This PhD
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qualitative data to study how parents’ social network connections and resources shape their children’s career outcomes. As a PhD candidate, you will work on your own project within the SHINE programme. The aim