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Field
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demands are significant challenges of today’s AI systems. One promising alternative is spiking neural networks (SNNs) executed on neuromorphic hardware. Neuromorphic computing tries to mimic how the brain
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collaborative and multidisciplinary research network. Key responsibilities Design and execute wet‑lab and/or computational workflows including: - Profiling open chromatin, histone marks, methylation, and
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lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org
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. Within the department, the Secure and Networked Systems Division works broadly with research within Networked systems, Applied AI/ML, Computer Security and Cryptography. The division runs several research
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administrative and technical services—all within a setting that offers attractive employment conditions. To learn more about the department, please visit: https://www.umu.se/en/department-of-computing-science
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project, “Material Model Discovery from Physics-Encoded Neural Networks”, aims to discover material models that give unprecedented accuracy and computational efficiency, enabling engineers to fully exploit
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supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school/ Requirements
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Engineering and will become part of the national graduate school FOFOS – Research School for the Transformation of the Public Sector (https://www.mdu.se/forskning/forskarskolor/forskarskolan-fofos ). FOFOS is
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15 Jan 2026 Job Information Organisation/Company Örebro University Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Application Deadline 11 Mar 2026 - 22:59 (UTC
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16 Jan 2026 Job Information Organisation/Company Lunds universitet Department Lund University, LTH, Department of Computer Science Research Field Computer science Researcher Profile First Stage