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or another relevant field; the ability and enthusiasm to learn and apply quantitative and qualitative methods within HTA; an interest in cross-disciplinary work within HTA; good oral and written communication
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of our work have included novel approaches to analyzing network traffic, exploit development, and software implementation of novel file and format extraction techniques. Knowledge, Skills, and Abilities
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. We are working
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a substantial research component, with First Class Honours/H1 or an equivalent high academic standing. The successful candidate will demonstrate the ability to conduct self-directed research while
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ability required to successfully complete the doctoral programme. General entry requirements Applicants meet the general entry requirements if they have: completed a degree in biomedical laboratory science
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, and on-board power systems for aircraft and ships. The increasing capacity and complexity of the electrical systems in these applications is creating a range of challenges at equipment and system levels
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
quantitative background and computer skills including programming experience; excellent academic record; and ability to work independently. PREFERRED: Research assistant experience; background in economics
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English; therefore, English is required, German is appreciated. Further expectations are: Strong communication, data presentation and visualization skills Ability to work both, independently and
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an unnecessary discarding of generated power. This four year’s PhD position is aimed at using captured CO2 from point sources and hydrogen from water electrolysis to generate carbon-based base chemicals and fuels
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and economic use of renewable electricity without an unnecessary discarding of generated power. This four year’s PhD position is aimed at developing multiphase models to predict the dynamics and