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30 Sep 2026 - 12:00 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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, Infrastructure and Cybersecurity, and Graphic Design and Web Development. We also offer a popular master’s programme in Cybersecurity. For more information, visit Department of Computer Science and Informatics
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. Willingness to participate in fieldwork across Sweden. Further information Postdoc position for two years with placement in Luleå. Starting: November 1, 2026 or as soon as possible after that. For each position
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qualifications Publications at top machine learning or computer vision conferences (NeurIPS, ICML, ICLR, CVPR, AISTATS etc.) are highly meriting. Expertise in Bayesian methods, generative models, multimodal models
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architecture, but most courses are open for external students as well. Link to the department's website . Read more about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu
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-10 Last application date: 2026-09-19 Where to apply Website https://academicpositions.com/ad/kth-royal-institute-of-technology/2026/postdoc… Requirements Research FieldChemistryYears of Research
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Postdoc who can perform high quality statistical research. Apply August 31, 2026, at the latest. The Department of Statistics conducts research within the field of statistics and data science, including
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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics