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well as the University's complete Non-Discrimination Notice may be found here . Pursuant to Executive Order 161, no state entity, as defined by the Executive Order, is permitted to ask, or mandate, in any form
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increasingly important and pressing due to the rapid growth of offshore renewable energy as a critical part of the UK’s ambitious plan to achieve net-zero greenhouse gas emissions by 2050. These extreme waves
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Enhancement (SCALE) network to train the workforce for microelectronics. Other significant external funding agencies include NNSA, DOE, NSA, Sandia National Labs, Intel, DARPA, and NSF. The ECE department
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, performing data collection and processing of cryo-EM data. Setup of future hardware and software as the research technology is upgraded. Providing lab members support in data collection, image processing, map
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and software General Expectations: Above-average MA or equivalent in a field of study relevant for the respective position. Excellent academic and study record (e.g. FÖP within one year, annual
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The student will benefit from working alongside a multidisciplinary team of engineers, mathematicians, and physicists at the University of Manchester as well as a wide collaboration network within the UK and
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interpersonal, communication, organizational, problem-solving, and statistical software skills (e.g., R). Strong background in quantitative data analysis and research methodology is preferred. Ideal candidates
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the performance of novel, renewable, wave energy harvesting approaches. Here the research ambition is to extend the state of art from small scale sensor networks (nW’s to mW’s), towards a vehicular scale (W’s to
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services (as defined in federal and state law), veteran status, expunged juvenile record, and/or the use of leave protected by state or federal law in all programs, activities and employment practices as
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furnace (EAF) steelmaking. The research will support the steel industry’s transition to net-zero steel manufacturing and enhance the high-value utilisation of the new EAF steelmaking slags. Transition