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of the processing system online. Our approach will be to draw on a broad selection of tools including (deep) reinforcement learning, queuing networks, online algorithms and systems engineering. In addition, a large
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The growing demand for high-performance, low-power large-area CMOS technologies has driven interest in a range of new materials, including silicon-based thin films, organic semiconductors, and metal
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview A major
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Job Description We are seeking a talented and highly motivated PhD student to work in the field of transient astrophysics with a special focus on large transient surveys in the era of big data
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will be expected to shape research direction and priorities while actively collaborating with researchers and sustaining your own applied energy portfolio. On a daily basis you will need to align big
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disorders, ideally idiopathic scoliosis experience with data analysis using software such as Stata or R experience with processing and managing large data sets excellent academic writing skills Personal
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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required Experience with clinical trials Experience with data analysis Experience with RedCAP Experience with large-scale data, such as genomics and transcriptomics data Programming experience, preferably in
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social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues