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-inspired and computationally efficient methods. Modern machine learning methods often depend on enormous datasets and extensive computing resources. This trend limits their scalability, increases
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on processing and analysis of metabolomics and exposomics data, covering both method development and applications. Background The systems medicine research group at Örebro University (https://www.oru.se/english
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subject area for this position is medicine, specializing in computational metabolomics and exposomics, with primary focus on processing and analysis of metabolomics and exposomics data, covering both method
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Ref no: ORU 2.1.1-07579/2025 Örebro University and the School of Science and Technology are looking for up to two doctoral students in Computer Science. Each position is expected to conclude with a
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Ref no: ORU 2.1.1-05355/2025 Örebro University and the School of Science and Technology are offering a doctoral student position in Computer Science. The position is expected to conclude with a
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Ref no: ORU 2.1.1-07577/2025 Örebro University and the School of Science and Technology are offering a doctoral student position in Computer Science. The position is expected to conclude with a
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Application Deadline 24 Nov 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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) Country Sweden Application Deadline 23 Dec 2025 - 22:59 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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Job Status Full-time 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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21 Nov 2025 Job Information Organisation/Company Örebro University Research Field Computer science » Other Engineering » Other Researcher Profile Recognised Researcher (R2) Country Sweden