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interfaces/ontologies) that make decision variables, causal pathways, assumptions, and uncertainty explicit, enabling consistent coupling of engineering and techno-economic models Data-driven and physics
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materials science by integrating physics-based simulations with data-driven analysis of cutting-edge synchrotron radiation facility data. By combining experimental data with physical models, we establish
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biological data and AI expertise into trustworthy, reproducible digital assets that accelerate innovation in healthcare and biotechnology through validation, engineering, and valorization pathways such as
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of advanced preclinical in vitro and in vitro models inclucing genetic engineering of T cells to address mechanistic and translational questions relevant to clinical application. Your responsibilities
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This staff scientist position is connected to the research group and is funded by the European project COMFORT (Improve Diagnosis and Treatment of Urologic Cancers with Artificial Intelligence-Driven Decision
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datasets and use it to power a vision foundation model capable of accelerating discovery across the life sciences. We're seeking a skilled Data Engineer to drive scientific innovation through robust data
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complex problem that combines radiative heat transfer, optical engineering, and high-temperature system design. While simplified models often assume idealized geometries or perfect emitters and reflectors
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and data-driven modelling approaches in representing quality degradation and shelf-life dynamics. Exploratory perspectives on how digital technologies and data-oriented analyses may inform scientific
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Website https://academicpositions.com/ad/tallinn-university-of-technology/2026/phd-posi… Requirements Research FieldArchitectureYears of Research Experience1 - 4 Research FieldEngineeringYears of Research
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Engineering for Climate Resilience Academic Rank: The program director is expected to be appointed at least at the level of an Associate Professor of Chemical Engineering. Contract Type: Contractual, Renewable