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                , the candidate will develop polymeric lubricious coatings for catheters to minimize injury to blood vessels during the trans-catheterization process. They will characterize the surface modifications of implants 
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                (UF), membrane distillation (MD), and nanofiltration (NF) processes. The role involves advanced membrane fabrication techniques and a range of membrane characterization methods, such as SEM, EDS, TGA 
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                , telecommunications or related field. Other requirements include Strong background in communication theory, signal processing, and wireless communications, Extensive experience in physical (PHY) layer algorithm design 
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                of this multidisciplinary project: (i) designing and developing chemical and ion-exchange processes for energy- and cost-efficient recovery of minerals and chemicals from desalination reject brine., (ii) utilizing recovered 
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                applicant will contribute to four main research thrusts that are central to the success of this multidisciplinary project: (i) designing and developing chemical and ion-exchange processes for energy- and cost 
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                through computer simulations and/or experimental validation. The PDA is expected to actively disseminate results through publications in high-impact journals and presentations at leading international 
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                competitive salary and benefits. Research in the SIT-D lab focuses on understanding and modelling consumers' behavior and decision process for sustainable transport modes and transport innovations. Research is 
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                surface features designed to enhance the performance of microfiltration (MF), ultrafiltration (UF), membrane distillation (MD), and nanofiltration (NF) processes. The role involves advanced membrane 
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                primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control. RISC invites qualified applicants in the areas of electrical, computer, or mechanical engineering, or 
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                accomplishments are preferred. Experience with modern sampling techniques such as metadynamics, machine learning; good computer programming skills, and working knowledge of UNIX, phyton, and shell scripting is