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. The position focuses on frequency-domain electromagnetic (FEM) and transient electromagnetic (TEM) methods. The successful candidate will contribute to the development of an inversion framework for the joint
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independently Excellent English and basic knowledge of the Danish language As a formal qualification, you must hold a PhD degree (or equivalent) in environmental engineering or a similar scientific area. We offer
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background in feed processing technologies, biochemical, and chemical evaluation methods. Proven experience in experimental design, data analysis, scientific communication and writing. Demonstrated ability
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background in feed processing technologies, biochemical, and chemical evaluation methods. Proven experience in experimental design, data analysis, scientific communication and writing. Demonstrated ability
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breakthroughs in the study of transport across interfaces by utilizing twisted membranes. This innovative method offers an exciting way to tune the properties of the materials. The goal of the Postdoctoral
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forecasting. You will get the opportunity to participate and influence the development of advanced forecast solutions combining weather forecasts and novel machine learning/statistical forecasting methods
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to develop new scientific methods to design and analyse better, more sustainable buildings. A researcher at the turn of the last century was trying to find a standardized animal model for their experiments. A
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and a demonstrable interest and experience in the use of computational methods. The candidate should combine the use of quantitative and statistical approaches with (solid) historical analysis, in line
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resource recovery pipelines You will contribute to the translation of structural and biophysical insights into technologies or methods for transforming recovered biopolymers into valuable products or process
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. Qualifications: You should have (or be close to achieving) a PhD degree. Background within computational methods for inverse problems, ideally tomography. Experience with development of numerical implementations