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Field
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Singapore’s AI-for-Science ecosystem. The candidate is expected to conduct the following research works Develop and validate finite element model of protonic ceramic electrolysers (PCECs) Develop generative AI
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processing required for discovering genetic (e.g., SNP, CNV) and epigenetic (e.g., DNA methylation) variations, as well as functional elements (e.g., enhancers and promoters) using short- and long-read
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, PDMS, or micro-machining). Experience with aptamer selection or molecular recognition elements. Experience applying machine learning to spectral data (Raman, LC–MS, or similar). Experience working
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or an equivalent qualification. For all posts, applicants should also: (a) have solid experience in electric machines, finite element methods and theory of electromagnetic files; and (b) be able to complete
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, accumulated deformations, and their impact on structural performance, particularly for compression members. Develop data-driven reusability assessment platforms integrating NDT data, machine learning models
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Fellow or Research Engineer with strong expertise in Human-Computer Interaction (HCI) and social science methodologies to lead the user research and policy development, as part of an interdisciplinary team
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the Department). The position is financed by the University of Bergen. About the project/work tasks The PhD project aims to investigate how methods from Scientific Machine Learning (SciML) can enhance modelling
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State Common Core Learning Standards and may incorporate elements of studio practice. Contribute to the Museum’s PreK-12 education web portal to house virtual materials and engage younger audiences
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of these positions is on research. The teaching load will be one to two courses per semester. The Postdoctoral Fellow is a Trainee position to pursue research as a vital component of their educational mission and
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. Place of work is the Department of Technology Systems at Kjeller near Oslo. Job description Increasing renewable energy generation from wind turbines and solar panels is a central component of climate