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Field
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technologies for seamlessly integrating Terrestrial Networks (TN) and Non-Terrestrial Networks (NTN) into a unified future network architecture. The project focuses on cloud-native multi-access edge computing
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computational modelling of magnetic field distributions and sensor performance, materials and device engineering (spin defect characterisation, optically detected magnetic resonance (ODMR), sensor packaging and
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partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing & processing Adaptation & optimization
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description UiB - Knowledge
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Research Fellow in Algorithms at the Department of Informatics . The position is for a fixed-term period of 3 years with the possibility of a 4th year with career-promoting work (e.g. teaching at
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. • Experience mentoring undergraduate or graduate students. Equipment Use of personal computer and proficiency in software and research statistical applications. Working Conditions Needs to be able
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Cancer or Molecular Biology, Genetics, Drug delivery, Bioinformatics, Biostatistics, Computational Biology, or other closely related biomedical field from an accredited University (based on funding
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position in Continuous Experience Recognition for Distributed Co-Creative Immersive Systems, available at the Department of Informatics as a member of the MishMash Centre for AI and Creativity. Starting date
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development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process
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waves Work with measurements on entrained air bubbles, oil droplets and possibly other types of particles, such as ice crystals, and formulate models for size distribution and vertical transport