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experience; preferred qualifications are publication of research work, work in different biological systems, PhD in the biological sciences, formal training in teaching, experience as sole instructor of a
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, exploiting controlled electron–matter interactions to locally synthesize, deposit, transform, restructure, functionalise and fabricate materials and nanoscale structures. Particular emphasis will be placed
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Technology Driven Policy and Innovation Research Centre (STeDI-RC) Considerable cross-centre interaction is a characteristic of the Institute’s scientific ethos. The Cyprus Institute invites applications for a
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learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models
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process at https://employment.ku.dk/faculty/recruitment-process/. Interviews with selected candidates are expected to be held in late September 2026. Questions For specific information about the PhD
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11th October 2026 Languages English Norsk Bokmål English English Faculty of Health Sciences / Department of Pharmacy PhD Fellow in Pharmacoepidemiology Apply for this job See advertisement
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. Various teaching activities in your field of expertise may take up to 20% of your time. Where to apply Website https://www.academictransfer.com/en/jobs/363723/phd-position-on-hermetic-packag… Requirements
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GardensGeofield Contact City Dublin Website http://www.tudublin.ie/phd Street TU Dublin - Grangegorman E-Mail phd@tudublin.ie STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E
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understand the interaction between market design choices and the total cost of the energy system, and to quantify the value of flexible demand, including the rapidly growing load from data centres, to system