31 web-programmer-developer-"https:"-"UCL"-"University-of-Cambridge" "https:" PhD positions at Leiden University in Netherlands
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Netherlands Application Deadline 14 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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The successful applicants will work as part of the Groeien met Groen Staal (GGS) programme, which aims to make the Dutch steel sector CO₂-neutral by 2050. Steel is crucial to modern society and plays a significant
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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 recognise yourself in the following: A Master’s degree in
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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 recognise yourself in
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. Flor Miriam Plaza del Arco, Prof. Suzan Verberne and Prof. Joost Broekens. More information about the Human AI cluster can be found at https://www.universiteitleiden.nl/en/science/computer
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PhD position understanding and designing nanomedicines-membranes interaction: physics based approach
the nanomedicines with high specificity to the desired target site in the body. In this PhD project, the candidate will experimentally study how to achieve high specificity by developing a quantitative understanding
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Institute of Chemistry are looking for a PhD candidate to pursue research on the development of host-directed therapeutics for mycobacterial infections. Mycobacterial infections are among the top 10 cause
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workings of black-box machine learning models such as deep neural networks, they have severe drawbacks and limitations. The field of interpretable machine learning aims to fill this gap by developing
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of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world network data
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to the challenges of sustainability. CML distinguishes itself for its attention to professional development in coordination with the interests of its scientists. As such, there are plenty of opportunities to learn