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laboratory techniques helpful, but not required. Exposure to applicable computer technologies, including specific software applications (Microsoft Office/365), may be required. Strong communication skills
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training will be provided. We particularly welcome applicants who are excited about integrating ecological understanding with data-driven methods. There is flexibility to tailor the research to your
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desirable. Entry requirements At least UK equivalence Bachelors (Honours) 2:1 or UK equivalence Masters degree. Mode of study Full-time Start date 1 October 2026 Additional Funding Information This project is
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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and
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of these materials. Implementation of artificial intelligence (AI) and machine learning (ML) to establish the connection between the existing models and material data (both literature and the baseline established in
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for long term policy and practice impact. Further information To apply or learn more, contact Associate Professor Christina Malatzky in advance of the deadline.
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forms and further information on the application procedure here .
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and 100 EUR for each additional child Application Papers Candidates are requested to directly contact the higher education institution of their choice for detailed information on the scholarships
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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to the Terms and Conditions regarding privacy and collection of personal information. Any applicant that does not submit the required documentation, including documentary evidence, will not be considered