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Requisition Id 16760 Overview: We are seeking an Applied Data Scientist to perform development of novel and advanced AI/ML algorithms. This work will support a broad user base by applying AI methods
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of Oxford. The post is funded by United Kingdom Research and Innovation (UKRI) as part of the ACORN IAA and is for 12 months. The researcher will develop visual mapping and change detection algorithms
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the resilience, safety, and security of critical infrastructures as core requirements. Moreover, it will boost the development and validation of novel AI algorithms, by the European AI community, through open
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monitoring, infrastructure inspection and emergency response. This PhD will develop a mathematical and algorithmic framework to assess and improve the resilience of FL‑enabled autonomous systems under
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; multi-modal scene sensing and interpretation; pre-harvest fruit quality assessment; and perception algorithms for autonomous crop harvesting. We are particularly interested in applicants with experience
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. Carry out the development, simulation and evaluation of algorithms. Participate in the writing of scientific documents and articles. Where to apply Website https://seuelectronica.upc.edu/en/procedures
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; • have experience in creating machine learning algorithms; • s a declaration that Akademia Tarnowska will be his/her primary place of work in the event of winning the competition; • be fluent in Polish
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fields (e.g. interpolation, climatological fill, ML-based gap-filling). • Apply noise-removal algorithms (e.g. signal filtering, radar clutter suppression, spike detection) across sensor and remote
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analysis (e.g. Soldis, Robot, Abaqus) and algorithmization of engineering problems (e.g. SciLab, Matlab, Mathematica, Python). Required documents: Candidates entering the recruitment process are requested
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algorithms and in collaboration with PFCs. Prioritize patient placement from multiple in-coming locations i.e. home, clinic, outside hospital transfers, PACU, and emergency department from all hospitals