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clinical risk factors? 4. How can prediction models be validated to ensure they are trustworthy and reliable for integration into living digital decision aids at the point of care? About the PhD program The
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for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Program. Good oral and written presentation skills in English. You need strong skills in mathematics
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programming skills in for instance Python, Matlab or another programming language is a requirement. Experience with geodynamic and/or landscape evolution modelling is an advantage. Experience with tectonics
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contributing to the broader goal of building ethically aware and socially responsible language technologies. The candidate will submit a PhD plan within 3 months after the start of the PhD. Qualifications and
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This PhD programme is multidisciplinary and cross-disciplinary building on applied mathematics and physics, technology and engineering—and the interplay between these. The programme has an applied
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meet the requirements for admission to the faculty's Doctoral Program Good oral and written presentation skills in English. You need strong skills in mathematics, probabilities, optimization and
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approved PhD program. The successful candidates are expected to start on 1st September 2026. Qualification requirements and personal skills Applicants must hold a Bachelor’s and a Master’s degree or
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relevant Engineering discipline, or a related field. Foreign degrees must correspond with the admission criteria for the PhD program. Candidates submitting MSc thesis within 30. June 2026 may be considered
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to MINA’s PhD programme. The documentation that is necessary to ensure that the admission requirements are met, must be uploaded as an attachment. Main tasks Develop machine learning models to produce forest