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Field
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investigator, other postdocs, PhD students, and external collaborators to advance research objectives and generate high-impact results. In addition to research, some participation in supervision of doctoral
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. The ideal candidate holds a PhD in transport, operations research, civil engineering, or a related field, with strong skills in mathematical optimization and modelling (ideally in Python) and an interest in
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: ● Applicants must have a PhD in Computer Science or related field, with no more than five years post receipt of the PhD. ● Experience in one or more ML domains, such as deep learning, reinforcement learning
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Biology, Environmental Sciences, Agricultural Engineering, Forestry Engineering, or related disciplines associated with ecology, biodiversity, agronomy, or natural resource management. 2. PhD in Ecology
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Infrastructure Computer Vision Data Analytics for the Built Environment You should possess: A completed PhD in a relevant discipline. Strong research expertise in digital engineering and built environment research
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Education: PhD in Chemical Engineering or related field Desired Experience: 3 years of prior research experience on multiscale modeling, hybrid modeling, and model-based control or related fields. Additional
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Education: PhD in Chemical Engineering or related field Desired Experience: 3 years of prior research experience on multiscale modeling, hybrid modeling, and model-based control or related fields. Additional
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other biomedical applications. Applicants must have a PhD degree (or equivalent) in Polymer Science, Chemistry, Biochemistry, Pharmacy, or similar, with a strong background in the synthesis of functional
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of computational tools for process monitoring and predictive analysis Candidate Criteria Applicants should have: A PhD in Process Engineering, Chemical Engineering, or a closely related field Strong expertise in
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to the application deadline. What you will do As a postdoctoral researcher, you will contribute to one or several DRIVE PR research tracks. You will work closely with industrial partners, PhD students, senior