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experimental psychology and cognitive science to augment human intelligence with AI. Your experience and ambitions eligible for PhD study at Aalto University (https://into.aalto.fi/display/endoctoralsci/How
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, economic viability, and robustness to realistic operational uncertainty. PhD (or equivalent) in control engineering or closely related discipline. Track record in at least two areas: model predictive control
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abrasive slurries. The applicant will have obtained or be close to obtaining a PhD or have some years of relevant industrial experience in Chemical Engineering, Colloid Science, Mechanical Engineering
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will be helpful to have a working knowledge of multi-phase flows, and in particular of abrasive slurries. The applicant will have obtained or be close to obtaining a PhD in Chemical Engineering, Colloid
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will be helpful to have a working knowledge of multi-phase flows, and in particular of abrasive slurries. The applicant will have obtained or be close to obtaining a PhD in Chemical Engineering, Colloid
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abrasive slurries. The applicant will have obtained or be close to obtaining a PhD or have some years of relevant industrial experience in Chemical Engineering, Colloid Science, Mechanical Engineering
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holder would join the lab of Prof Vladimir Jiranek (Prof V Jiranek | Uni Soton ), and have the opportunity to interact with several PhD students working on related topics in the context of a diverse and
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stakeholders. Demonstrated ability to manage iterative feedback cycles and refine deliverables accordingly. The skills, qualifications and experience required to perform the role are: A PhD in Computer
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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational