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12 Dec 2025 Job Information Organisation/Company University of Basel Research Field Biological sciences » Biology Computer science » Other Mathematics » Statistics Neurosciences » Neurology
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) Country Switzerland Application Deadline 19 Mar 2026 - 22:59 (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
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the world, we work together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2025/phd-position-in-computational
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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
! More Do not overlook the inclusion of Academic Europe in your application. Where to apply Website https://www.academiceurope.com/ads/doctoral-candidate-in-computer-vision-and-ma… Requirements Research
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, presentations and scientific publications Your profile You have a PhD degree (or equivalent) in Acoustics or Electrical/Mechanical Engineering or Computer Science. Experience with scientific computing in Matlab
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to test its application in real-world environments. To support this project, we are looking for a motivated Full-Stack Engineer to join our team in building and maintaining modern web applications and cloud
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(tenure track) in computer science with focus on networking and distributed systems and special emphasis on data centers and cloud computing. Within these areas, topics of interest include protocol design
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(tenure track) in computer science with focus on networking and distributed systems and special emphasis on data centers and cloud computing. Within these areas, topics of interest include protocol design
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tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2025/phd-positions-in-computational… Requirements Research FieldComputer scienceYears of Research Experience1 - 4 Research
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management policies to achieve energy neutrality and autonomous operation in long-term deployments. Edge–cloud integration and field deployment. Deploy and validate sensor networks on representative assets