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for soft materials, with particular emphasis on thermo–visco–hyperelastic behavior, integrating continuum mechanics, scientific machine learning (SciML), and computational physics. The project aims
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frameworks for quantum machine learning, including conformal quantum prediction and uncertainty quantification in quantum models; Theoretical and algorithmic advances rooted in statistical learning theory
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at St. Stephen's Green/RCSI car park Recognition: At RCSI, we value and recognise the contributions of our staff through various awards and events, such as Long Service recognition, the Vice Chancellor
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excellent at training new users of HCP-Style brain imaging methods. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https
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the ability to quickly learn new things and work independently, along with previous research experience in at least one of the following areas: 1) statistical genetics/genomics/omics, or 2) deep/machine
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skills; ability to work independently and collaboratively; willing to and capable of learning new skills needed to complete the research projects. About the lab and St. Jude: Upon completion
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Location: Cambridge, Massachusetts 02142, United States of America [map ] Subject Areas: Artificial Intelligence Biology Machine Learning Appl Deadline: (posted 2025/09/30 05:00 AM UnitedKingdomTime, listed
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) Corrosion behavior (electrochemistry & high-temperature oxidation) In-situ monitoring of AM processes Computational skills in: Phase-field modeling, Machine Learning, FEM, DEM, COMSOL Alloy design (CALPHAD
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analysis; Biomarker identification through the use of machine learning approaches; and Multi-omics data integration with genomics, transcriptomics and methylomics data. Job Description Primary Duties
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development, data management, and preparation of scientific reports (20%) Computer knowledge to enter data from experiments into existing databases; spreadsheets and web-based applications. Conduct background