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- 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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23 Aug 2025 Job Information Organisation/Company Leiden University Research Field Computer science » Informatics Computer science » Programming Engineering » Computer engineering Engineering
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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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programming experience with Python are beneficial but not required. We particularly encourage women and candidates from other groups which are currently under-represented in academic posts. The preferred
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of 16 academic & industrial partners will train 14 PhD fellows (3 of which are to be hired through this call). What GenAIDE offers you: A structured, four-year PhD training programme that mixes
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in the field of Psychology and related research areas, both fundamental and applied. The broad bachelor's program and a wide variety of master's specializations also contribute to this goal. Within
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programme. Candidates from outside the Netherlands may be eligible for a substantial tax break. For more information, see the website. Faculty The Faculty of Science at Leiden University is a world-class
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forming the foundational content for your PhD thesis to attain a PhD degree (dr.) at Leiden University; Actively participating in the Leiden Graduate School of Science's education and supervision programs
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PhD candidate in Design and synthesis of pyrophosphate mimetics to study enzymes involved in natural
freedom to assemble your own set of terms and conditions. For international spouses we have set up a dual career programme. Candidates from outside the Netherlands may be eligible for a substantial tax
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, and artificial intelligence, along with well-developed skills in scientific programming, and an affinity with network science in particular. You should be comfortable working with large-scale datasets