15 application-programming-android-"Multiple" scholarships at Linköping University in Sweden
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Sweden Application Deadline 23 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference
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The Division of Biology at Linköping University invites applications for a four-year PhD to address outstanding questions on behavioural evolution in canids. Your work assignments Understanding how
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array antenna systems for imaging MIMO radar in autonomous driving applications. This work will advance the design and characterization of intelligent devices and environments for wireless communications
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5 Sep 2025 Job Information Organisation/Company Linköping University Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 23 Oct
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programme: At the time of recruitment, be in the first four years of their research career and have not been awarded a doctoral degree. Mobility rule: The applicant must not have resided or carried out
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application! We are looking for a PhD student in Medical Science. Your work assignments Your work will entail the investigation of how Wnt signaling, a cell-to-cell communication pathway conserved across
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application! We are looking for up to two PhD students in trustworthy machine learning, with a particular focus on cybersecurity, privacy, and verifiability for AI systems, based at the Department of Computer
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30 Aug 2025 Job Information Organisation/Company Linköping University Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 29
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First Stage Researcher (R1) Country Sweden Application Deadline 29 Sep 2025 - 22:00 (UTC) Type of Contract To be defined Job Status Full-time Is the job funded through the EU Research Framework Programme
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application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with applications towards materials science. Generative machine learning models have emerged as a