390 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" uni jobs in Sweden
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valid residence permit before the start date of the studies. The latest possible start date is 26-08-31. More info: https://www.umu.se/globalassets/fristaende-webbar/regelverk/utbildning-pa-forskarniva
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Optimal Transport for Optimization and Machine Learning Appl Deadline: 2026/02/04 11:59PM (posted 2025/12/19, listed until 2026/02/04) Position Description: Apply Position Description Doctoral student in
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within the Department of Electrical and Information Technology at Lund University, the Faculty of Engineering, LTH, works broadly with research within Cryptography, Computer Security, Wireless and Fixed
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, you will be guided by supervisors. Doctoral studies end with a thesis and a doctoral degree. More about being a doctoral student at LTH on lth.se. https://www.lth.se/english/study-at-lth/phd-studies
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Umeå University, https://www.umu.se/en/work-with-us/ Where to apply Website https://umu.varbi.com/en/what:job/jobID:890820/type:job/where:39/apply:1 Requirements Additional Information Work Location(s
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, https://www.umu.se/en/work-with-us/ Where to apply Website https://umu.varbi.com/en/what:job/jobID:887292/type:job/where:39/apply:1 Requirements Additional Information Work Location(s) Number of offers
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: https://www.gu.se/en/sahlgrenska-akademin/about-us/call-for-9-assistant-professor-positions You will work in close integration with healthcare, with direct access to clinical expertise, patient data, and
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management, information security management systems, etc.), or networking and infrastructure (e.g., computer networking, operating systems, system administration, cloud computing, etc.). You are expected
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context. Ability to teach courses on adjacent programmes in the department, e.g. cybersecurity, human-computer interaction, embedded systems, etc. Experience in research in other areas currently being
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development, testing and application of the LPJ-GUESS biosphere model for modelling tropical wetlands and estimating tropical methane emissions. The work is part of the EU-funded project IM4CA (https://im4ca.eu