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, with three other modeling-focused PhDs who will work at different scales of assessment. This work is embedded into a larger team of PhDs, who are collecting data, working on multiple topics, from ecology
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Apply now The Faculty of Science, Leiden Institute of Advanced Computer Science, is looking for a: PhD Candidate, Efficient LLM Algorithm, Hardware and System Design (1.0 FTE) Project description We
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fulltime and starts with a temporary employment contract for 18 months. This probationary period consists of an educational programme, offered by Erasmus Graduate School of Law, and individual research and
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and subsequently distribute within them, typically using microscopy-based techniques. The position is part of the national NanoMedNL consortium and the candidate will interact with other PhD candidates
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phenomena across scales, combining multiple fields including physics, mathematics, astronomy, history & philosophy of science, and social science. Its approach to societal engagement throughout the project’s
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across infrastructure networks, studying how infrastructure administrators handle uncertainty and complexity across multiple organisational levels when managing their infrastructure assets. The candidate
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. You already have good background knowledge on atmospheric composition and greenhouse gas cycles and experience with isotope measurements. Next to this you find yourself in one or multiple
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for sustainability in real-life settings; conduct action research and stakeholder engagement; work collaboratively in a team across disciplines and with multiple stakeholders; participate in conferences, workshops and
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-for-Good, the municipality of Emmen, NOM, InvestNL, and other academic and regional stakeholders. The PhD position will be embedded within the research programme Global Economics & Management at the Faculty
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will be embedded within the research programme Marketing at the Faculty of Economics and Business (FEB). The project will be supervised by Marijke Leliveld and Kim Poldner. The ideal candidate is highly