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monitoring scientific progress and ensuring that project objectives and milestones are met. Your competencies The candidate must have a strong background in control theory, reinforcement learning, and game
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of economics, i.e. microeconomics, macroeconomics, and quantitative methods. The department has a strong research profile and an excellent track record in fundraising. It is especially active in
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-invasive battery lifetime prediction through acoustic emission detection. This involves modeling the battery as a 3D acoustic landscape and tracking its changes over time. The expected outcomes
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tasks You will join the Grand Solution project 'DRONES: Drone-Obtained Electromagnetic Signatures' to exploore innovative approaches such as drone-based radio testing for large objects and EM signiture
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PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as Embedded AI, Edge AI, TinyML, and AIoT
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: Experience with the development of computational solutions to analysing (palaeo)proteomic data. Knowledge of proteomics or protein mass spectrometry. You have an excellent scientific track-record, including
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) Proven record of independent and innovative research, with strong problem-solving abilities Track record of publication, including at least one first-author paper in an internationally recognised, peer
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area of employment is Aarhus University with related departments. Contact information For further information, please contact: Tenure Track Assistant Professor, Sonal Shreya, +45 93522648, sshreya
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systems such as ÄKTA or Bio-Rad NGC) Proven record of independent and innovative research, with strong problem-solving abilities Track record of publication, including at least one first-author paper in
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completion of) a PhD in Computer Science or Mathematics. An ideal candidate has a research track record at a high international level (reflecting the academic age of the applicant) and experience with