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- Statistical learning and safe reininforcement learning - Simulation-based analysis - Explainability methods for AI/ML-based systems - Specification formalisms for learning-enabled systems We encourage
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positive, open-minded, and collaborative team dedicated to advancing building physics research methods. Our goal is to develop resource-efficient buildings that offer excellent indoor environments and
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stiffness or stretchability. You will collaborate closely with PhD students and Postdocs in our group as well as external partners to study the mechanical, electrical, and electrochemical properties
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in nanofluidic channels (the recruiting Langhammer group: Nat Methods 2022, 19 (6), 751-758; Nat Commun 2019, 10, 4426; ACS Nano 2023, 17, 21030-21043); self-assembly of optical microcavities (Shegai
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thermal and materials characterization including using RAMAN, FTIR, DSC, DMA, TGA, LFA and 3-Omega measurement methods etc. We seek candidates with the following qualifications: To qualify for the position
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manufacturing methods for superalloys, such as innovative casting techniques and additive manufacturing, new opportunities have arisen to tailor the grain structure of components. However, assessing
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, which specializes in climate dynamics, numerical modeling, greenhouse gas emissions, and data-fusion methods, including data assimilation. This position offers opportunities for collaboration with both
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. Your profile We seek candidates with the following qualifications: You should have a PhD in engineering (e.g., mechanical, biomedical, or electrical) or human factors with an engineering focus. You must
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stream and developing foods with tailormade health benefits. As part of the large academia-industry collaboration initiative, this postdoc position focuses on exploring innovative biotechnological methods
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opportunities to qualify for further research positions within academia or industry. A monthly salary is paid. There are no tuition fees for PhD studies at Chalmers, so the postdoc associate can take classes