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a complex research environment. Requirements for the position are: The position requires that you have a PhD in natural sciences/technology/medicine/mathematics/physics or equivalent, with a focus on
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of your research verbally and in written scientific articles. Required qualifications Master’s degree in Mechanical Engineering, Aerospace Engineering, Engineering Physics, or equivalent. Strong interest in
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applicants on the basis of their qualifications and their ability to benefit from studies at the doctoral level. After the selection of the suitable candidate, the process for the admission to doctoral studies
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. They involve high-stakes decisions with important trade-offs and uncertainties. They are also challenged by the data sampling process which gives rise to distribution shifts when comparing past and future data
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requirements for doctoral studies, you must: hold a Master’s (second-cycle) degree in engineering physics, electrical engineering, machine learning, data science, computer vision, computer science, applied
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experimental molecular biology and cell biology is a merit, as is understanding of physics and structural biology, and experience in computational work including programming. You should be highly motivated and
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experimental molecular biology and cell biology is a merit, as is understanding of physics and structural biology, and experience in computational work including programming. You should be highly motivated and
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applied building physics, especially focusing on the Arctic conditions. Project description The green transformation of Sweden is at full speed. The task of achieving a sustainable, circular, and resource
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their degrees) in material science, chemistry, physics, or related fields. In addition to the above, essential requirements include: Knowledge of semiconductor materials and/or organic electronics Good
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for multiuse purposes, addressing issues on climate change adaptation and high-versus low intensity forestry. We use empirical and process based modelling, with input data from the National Forest Inventory and