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-of-the-art in incorporating considerations beyond efficiency in urban transportation planning to improve societal outcomes while fostering collaboration with Cornell University. Your primary tasks will be
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Job Description You will join a supportive and dynamic research team working at the intersection of machine learning and operations research. Your main task will be to design and implement ML
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, next-generation sequencing such as long-read sequencing, and high-throughput analysis techniques. Primary tasks: Culture human T cells and cancer cells Design multiplexed CRISPR strategies Analyse
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, while avoiding humidity and gas exposure related robustness issues. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's
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and photon indistinguishability towards unity. The primary responsibilities of the PhD students include: Employ numerical simulation techniques based on Fourier Modal Method and the Finite Element
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new cement recipe based on activation of cement from fibre cement (without asbestos) and chemical optimization with other waste fractions. You must have a two-year master's degree (120 ECTS points) or a
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. During the project, you are expected to supervise Bachelor and Master students, work in tandem with colleagues and coordinate with collaboration partners, therefore we expect a high degree of project
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computer programming language is expected. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Approval and
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commercialized by a DTU spin-out (Spectroinlets) - but we have to move beyond what we already have in order to enable automated detection of non-volatile products. This will be your main objective. In parallel
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master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Approval and Enrolment The scholarship for the PhD degree is subject to academic