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in setting up experiments with controlled robotic arm and various sensors for understanding the underlying principles on phantom models. You will be a leading researcher in Dr Sharib Ali’s AI in
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to computational models. The group has a leading role in European within the fields of unconventional computing, our Comet initiative , and Computer Architecture, our CAL initiative . The position will be part of
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Python programming is an advantage Good written and oral communication skills Ability to work independently and good time management skills If you share our interest in leveraging first-principles
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proposal will be included in the assessment of the applicant’s competence. The final project description and work plan will be prepared in consultation with the supervisor(s) during the first three months
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to be involved in research investigating the engineering principles governing agricultural application systems. Research may include experimental and computational studies examining atomization, droplet
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24 Jul 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Chemistry Engineering Physics Researcher Profile Recognised Researcher (R2) First Stage
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30 Jul 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Arts Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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30 Jul 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) First Stage
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research expertise for further careers both in and outside academia. The position is scheduled to start on 01.08.27. Your immediate manager will be the Head of Department. Required selection criteria You
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Inverse Methods and Ionospheric Modelling Research Fellow - School of Engineering - 106995 - Grade 7
spanning ionospheric data assimilation modelling, D-region remote sensing, atmosphere-ionosphere coupling, HF radio propagation model development as well as first principles modelling of the coupled