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, etc.) to support tracking of project/program activities (e.g. incentive distribution; sending, receiving, and cleaning audio files for transcription, etc) Support search and set up procurement
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environment. The successful candidate will develop and apply advanced machine learning techniques—including multimodal AI, computer vision, and large language models—to complex scientific and engineering
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modelling and parameter estimation. This PhD project will be carried out in the Mathematical Systems Biology group at the Computational Biology Unit , a cross-departmental unit at UiB that works at
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development of transferable learned representations from large-scale public omics data and metadata, and the software infrastructure needed to build, maintain, and distribute them at community scale, including
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teaching duties. Requirements: Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct
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1 Postdoctoral Researcher position. Part-time 31 hours/month distributed unequally, gross hourly salary of 240,00 lei, fixed period until June 30, 2026. The project is entitled “A Study of Consumer
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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
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computer vision techniques, transformer architectures, and multi-modal learning. Familiarity with reinforcement learning (RL) principles, curriculum learning strategies, and the challenges of real-time
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to machine learning algorithms in order to get uncertainty estimates for parameters governing the distribution of the observed data. The predictive Bayes scheme for uncertainty quantification contains a wide
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, technicians and project specialists working on producing data on population distributions and characteristics at high spatial resolution. We are seeking to recruit a Research Fellow/Senior Research Fellow to