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databases. Integrating image- and text-derived datasets poses challenges due to differences in scale, structure, and accuracy, requiring robust data fusion and validation. By combining these AI-derived trait
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Description As a PhD candidate in Mathematical Statistics, you will develop novel methods for the analysis of temporal data. Of specific interest are monitoring procedures for structural breaks, which find
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be in advanced courses in computer science, mathematics, AI, machine learning or similar. Alternatively, you have gained essentially corresponding knowledge in another way. The applicant is expected
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14 Oct 2025 Job Information Organisation/Company Empa Research Field Computer science » Programming Computer science » Other Engineering » Electrical engineering Engineering » Other Mathematics
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, mathematics, AI, machine learning or similar. Alternatively, you have gained essentially corresponding knowledge in another way. The applicant is expected to have good knowledge of computer science, mathematics
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years, with a focus on creating an inclusive and bottom-up driven research environment. Our workplace consists of a diverse set of people from different nationalities, backgrounds and fields. As a PhD
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-specific reference distributions (centiles) and individual deviation scores. This combined approach enables the sensitive detection of menopause-related ageing patterns and quantification of intervention
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and causes of infections and non-communicable diseases. To understand and promote the well-being of people in different cultural and environmental contexts, EPH applies various methods ranging from
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24 Oct 2025 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Mathematics » Applied mathematics Physics » Computational physics Physics » Quantum mechanics
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10 Oct 2025 Job Information Organisation/Company University of Copenhagen Department Department of Mathematical Sciences Research Field Mathematics » Applied mathematics Economics Researcher Profile