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trends and results, as input to the strategic planning of the Agency. The team has been at the forefront of research in differentiable programming and intelligence, particularly in its applications in
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. You have good programming skills in Python and/or R; you are familiar with reproducible coding and automated (geospatial) data analysis. You have excellent scientific writing and communication skills in
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whole, ignoring that specific factors likely matter more for some groups than for others because the meanings they ascribe to climate change differ. This project (funded through the Vici programme of
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and processes) by shadowing as well as receiving coaching and tutoring from one of our Senior PA Engineers. You will perform this task in parallel to specific Mission Classification activities described
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for students and staff. Accredited by both AACSB and EQUIS, the Faculty benchmarks its programs and research against the highest international standards, fostering a culture of excellence and innovation
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undergraduate students. We focus on high quality teaching and research in the fields of human and economic geography, demography, and spatial planning. Our research program is titled TRACE (TRAnsformations
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-master design program being part of the program Business Information Technology. For more information on the BIT EngD program, see https://www.utwente.nl/en/education/tgs/interested-in/engd/programmes
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programme in 2008. Through the CCI, ESA is developing a suite of global data records of key components of the climate system, known as essential climate variables (ECVs). The climate-quality datasets produced
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optimisation, distributed-parallel-GPU optimisation (e.g. pagmo2), Taylor-based numerical integration of ODEs (e.g. heyoka), differential algebra and high order automated differentiation (audi), quantum
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demonstrable experience with R and/or with other types of programming (e.g. Python or Matlab). You are a creative and critical researcher and are motivated to pursue an academic career. You are able