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(PHM), Remaining Useful Life (RUL) estimation, eMaintenance, and Industrial AI. Assisting the teaching, with a focus on Battery Lifecycle Management, Intelligent Asset Management, Maintenance, Industrial
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-Ion/S batteries, Prognostics and Health Management (PHM), Remaining Useful Life (RUL) estimation, eMaintenance, and Industrial AI Assisting the teaching, with a focus on Battery Lifecycle Management
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control technology and computer algorithms to develop a foundational discovery platform for future cell programming applications. This position involves both experimental and computational work
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developing data processing pipelines, such as Nextflow or similar systems. Computer clusters and distributed systems. Virtual environments, e.g., Docker or Apptainer. Methods for software deployment (e.g
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verifiability for AI systems, based at the Department of Computer and Information Science. These positions are funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). Wallenberg AI
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested developing new machine learning methods for precision medicine and
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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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involves de novo enzyme design and characterization of computer-designed enzymes. With a growing population and a decrease in the available natural resources on our planet, there is a great need for
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demands. To improve care and expand access, there is a need for fast, efficient and resource-constrained computation models accessible for all clinicians and researchers. Deep learning methods applied
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that lymphopenia is associated with decreased overall survival in cancer patients. Currently, there are no established methods that enable the modification of radiotherapy protocols to prevent lymphopenia without