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Department: Electrical Engineering Salary: Commensurate with Experience/Education Description: Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops
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candidate will work under the supervision of Professor Raed Hashaikeh in the Mechanical Engineering department. This project focuses on the development and optimization of conductive membranes
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assessment. You will be provided with access to various engineering and computation toolsets along with the high-performance computer. A good background in numerical methods and computational platforms is
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25FA0694 Posting Open Date Posting Close Date Qualifications Minimum Education and Experience This position requires a PhD in civil engineering, mechanical engineering, or related engineering fields
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to lead a project related to the transport of bacteria in porous media and multiphase flow. A PhD degree in engineering or earth science is needed. 75% - Conduct laboratory experiments related
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. Performs other duties as assigned. Required Qualifications: Ph.D. degree in Agricultural/Biosystems/Mechanical/Electrical Engineering or closely related fields with expertise in robotics, computer vision
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your cover letter, including which Shima Seiki machine you operated, how long have you worked with the machine, and for what purposes/projects, PhD degree in Computer Science, Electrical Engineering
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Postdoctoral Research Associate - REDEPLOYMENT ONLY Apply online Job number SST00283 School / Service School of Science & Technology Department Department of Engineering Location Tait Building
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Location ESOC, Darmstadt, Germany Our team and mission You will join the Ground Segment System and Cybersecurity Engineering Section in the System and Applications Engineering Division, Ground
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Computer Science, Biomedical Engineering, Bioinformatics, or a related field. Required: Strong understanding of machine learning (ML) and deep learning (DL) methods, with hands-on experience in model development and