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: Development of ML/DL methods for multi-omics data analysis. Design and implementation of computational tools and software for cancer risk prediction. This position offers the chance to engage in cutting‑edge
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influenced later testing of multi-antenna devices in 4G and 5G radios. The group is well known for its strong relationship with industry and experimentally based research, which is enabled by world top-notch
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quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects. Developing independent and collaborative publications by accessing available longitudinal data
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learning (AI/ML) being a major focus. Many of the laboratory's interests center around the identification of small molecules using mass spectrometry data, and the use of language models to predict
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31 Jan 2026 Job Information Organisation/Company Umeå Plant Science Center Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Application Deadline 27 Feb 2026 - 23:00
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 3 months ago
Program (NPP) offers unique research opportunities to highly-talented scientists to engage in ongoing NASA research projects at a NASA Center, NASA Headquarters, or at a NASA-affiliated research institute
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 3 months ago
Program (NPP) offers unique research opportunities to highly-talented scientists to engage in ongoing NASA research projects at a NASA Center, NASA Headquarters, or at a NASA-affiliated research institute
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lenses of control theory and information theory. This position will focus on developing and applying theory, models, and methods that provide principled understanding of simultaneous multi-region, high
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particular, the candidate will investigate enhancement of RL controllers in multi-agent settings and by incorporating optimization techniques such as multi-objective optimization. Overall, the candidate will
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this position, you will develop high-fidelity block-based numerical models capable of representing the geometric and mechanical complexity of historical multi-wythe masonry. Your work will involve analysing how