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This PhD project will develop intelligent, data-driven methods for integrating diverse autonomous vehicles, such as buses, shuttles, pods, cars and micromobility vehicles, into public transport
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This PhD project will develop intelligent, data-driven methods that enable electric vehicles (EVs) to serve as mobile energy storage while remaining readily available for transportation
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available for 2 years in the first instance. Applicants must have (or be close to obtaining) a PhD. Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet
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1. A PhD degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Systems Engineering, etc. 2. The candidates should have strong math, modeling, programming, and
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theories in inverse/scattering problems. Once successful, the candidate is expected to transfer his expertise to machine learning/scientific computing in collaborations with other group members (phd students
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following skills and experience: Essential criteria PhD in Biological/Biophysical/Pharmaceutical Sciences, Protein/Peptide Biology, Microbiology or related discipline. Research experience in fungal biology
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for Research Staff Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in
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basis of immune evasion of this highly antibiotic-resistant pathogen. This post will suit a motivated scientist with a PhD in Molecular Microbiology, Infection Biology or a related discipline, and
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Lexington, KY Type of Position Faculty Position Time Status Full-Time Tenure Track Status Tenure Track Required Education PharmD, PhD, MD, PharmD/PhD, MD/PhD, or an equivalent advanced degree in
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Company description: University of Sheffield Job description: Are you a current or recently-completed PhD researcher, with experience of using multilevel models, in particular “intersectional MAIHDA