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engineering, machine learning, molecular design, and sustainability, helping to create smarter ways of identifying promising sorbents for electrochemical CO2 capture. Over the course of the project
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, enzymology, or molecular biology - Experience with computational methods (e.g. de novo protein design, molecular modelling, machine learning, or bioinformatics) - Experience with biochemical or biophysical
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23 Mar 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Design engineering Engineering » Systems engineering Environmental science
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fields ranging from materials science and biology to cultural heritage and forensics. Standard high-quality imaging requires a full 180 or 360-degree rotation of an object to acquire a massive number of
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both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates
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Development Design new statistical and machine learning models tailored to this emerging omics modality. Multimodal Data Analysis Work with high-dimensional datasets combining quantitative RNA features
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for operational decision‑making, interactive design, or control‑in‑the‑loop visualisation. Machine‑learning surrogates offer speed, yet purely data‑driven models often extrapolate poorly and may violate physical
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EngD Studentship in the EPSRC Centre in Doctoral Training (CDT) in Innovation for Sustainable Composites Engineering This opportunity adds to the portfolio of projects within the new CDT
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representations with probabilistic heads (GPs, Bayesian neural networks) for calibrated uncertainty estimates. Finally, the PhD candidate will focus on \textbf{active learning / adaptive design} for MF settings
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water is crucial for rational design of formulation in the pharmaceutical industry. The aim of this project is to implement an automated robotic platform for programmable high-throughput combinatorial