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Quantify and formalize uncertainty estimates to support reliable deployment in real-world building management systems For further information on the project you can contact your future superior: https
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PhD Student in Building Materials Lulea Reference number 3267-2026 Are you ready to take the next step in your academic journey? As a doctoral student with us, you will work closely with leading
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PhD Student in Building Materials Lulea Reference number 4229-2026 Are you ready to take the next step in your academic journey? As a doctoral student with us, you will work closely with leading
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Job Description If you are building your career as a scientist in advanced manufacturing, materials innovation, or simulation/data‑driven process modelling – and you are looking for a PhD position
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Job Description If you are building your career as a scientist in advanced manufacturing, micro engineering, data‑driven process modelling – and you are looking for a PhD position where your work can
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Job Description If you are building your career as a scientist in digital manufacturing, industrial AI, and data-centric production systems—and you are looking for a PhD where your research will
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understanding of the dissolution process of the solid particles in the liquid. This will be carried out using an imaging technique that able to track the dissolution process online. Then building a model
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<span lang="en">International Max Planck Research School for Chemistry and Physics of Quantum Materials</span> | Dresden, Sachsen | Germany | about 14 hours ago
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position with the possibility of extension. For more details on our research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu For questions, please
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, building software, and potentially collaborating on applied health sciences projects. Basic Qualifications Candidates should have a doctoral degree in biostatistics, statistics, or a related field