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the opportunity to contribute to a growing European research infrastructure and to develop innovative new tools and methods. You will join an international team that currently consists of 8 other members of staff
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University, you will build models and methods to parse natural language questions into geo-analytical workflows, combining NLP and semantic representations to improve how complex spatial questions can be
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Netherlands Application Deadline 10 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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MSc degree in a relevant field, such as Operations Research, Operations Management, Industrial Engineering, Computer Science, or Machine Learning. Solid experience with quantitative optimization methods
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Applicable Hours Per Week 28.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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to metabolic activity and interspecies interactions. By integrating taxonomic identity with functional state and spatial positioning, imaging-based methods provide a unique window into the organizational logic
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Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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are looking for a talented and motivated PhD Candidate who cares about journalism and documentary-making, has an experience with qualitative research methods, and wants to investigate the emotional and bodily
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Erasmus School of History, Culture, and Communication (ESHCC) at Erasmus
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, and the analysis of complex, large-scale datasets. Experience with image processing or machine learning is highly desired. A strong motivation to develop and apply cutting-edge computational methods