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, the Optimized AI team focuses on computing techniques to scale up a wide range of AI approaches and drive the SW-HW-Technology co-optimization. We analyze and implement AI models and software architectures while
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and software stacks to support the running of these algorithms. Industrial research in optimisation and AI/ML to support scaling of algorithms for real world applications Salary Range: €46,805 - €53,391
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in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade
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be found here: https://www.ucop.edu/academic-personnel-programs/compensation/2025-26-academic-salary-scales.html . Application Window Open date: August 4, 2025 Most recent review date: Thursday, Sep
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Your Job: The PhD project is methodologically independent and embedded in a multidisciplinary research environment at the interface of artificial intelligence, scientific imaging, and materials
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accelerating evidence-based practice through the use of behavioural and implementation science. More information on the centre is available at https://medicine.nus.edu.sg/bisi/ . Appointments will be made on a
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, and your application should clearly demonstrate that you meet the following essential criteria: Normally have, or be about to obtain*, a relevant PhD eg epidemiology, social sciences, psychology
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software engines into a unified DAT toolchain, ensuring compliance with industrial EDA standards. Job requirements MSc or PhD in Electrical Engineering, Computer Engineering, or a closely related field
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methodological research interests, and could contribute to delivery of Masters level teaching, and supervising postgraduate research students. You should have a Masters and PhD, or equivalent work experience, in
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(e.g. History, Museum Studies) Preferred Education Additional Master’s degree or PhD. Licenses/Certifications None. Required Experience Two (2) years of experience in digitizing and handling archival