8 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Umeå University
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models for complex data, including temporal data
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also try going to the Startpage Technical details Code: 500 About http error codes Server: UMU-WEBSRV05 IP: 172.18.132.5 Time: 2025-11-14 06:08:30
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description and working tasks The project will develop privacy-aware machine learning (ML) models. We focus on data-driven models for complex and temporal data, including those built from synthetic sources
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loop/TAD structures. - Perform comparative analyses versus Populus tremula; apply network modelling and machine learning for regulatory inference. - Functional validation of candidate TE‑CREs in spruce
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in radiotherapy with the goal of enabling fully adaptive radiotherapy. The work is based on deep learning, where models are trained on generated or clinical data. The project is carried out in
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their doctoral degree prior to that may also be eligible. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organizations, military service, or similar
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research area Learning and Brain Plasticity throughout the Lifespan. Brain plasticity is the foundation for memory functions. Brain plasticity can be impaired in aging and neurodegenerative diseases, and it
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highly motivated scientist who is quick to learn and has a demonstrated ability to work productively, both independently and in a multidisciplinary team. Preference will be given to candidates with