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We expect you to have a PhD (or equivalent) degree in mathematics, a strong research background in analysis with emphasis on areas supporting one or several of the research topics above, and motivation
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also have strong expertise in applying digital methods to research on large textual corpora, including requisite programming skills, as well as sufficient knowledge of classical Arabic to enable work
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applied industrial economics with ample opportunities for individual and collaborative research, acquisition of external research funds, and supervising MSc and PhD students. We seek candidates who have
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funds, and supervising MSc and PhD students. We seek candidates who have completed a PhD in economics or agricultural economics, who have solid training in econometrics and applied microeconomics and
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The position requires: A doctoral degree relevant to the project (e.g., biology, genomics, evolutionary biology) Less than seven years since obtaining the PhD Ability to conduct independent scholarly work Strong
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computational and theoretical methods to understand cluster and particle formation for atmospherically relevant molecules. ORCTOOL (Organic Cluster Tools) aims to create a toolbox for understanding and cost
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on the position. The hired researchers will work as part of the computational aerosol group at INAR. The computational aerosol physics group uses computational and theoretical methods to understand cluster and
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. This involves relying on modes of knowledge production that step away but continue to engage with scientific methods developed around notions of validity and reliability. For both the Postdoctoral Researcher and
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with various methods. By integrating the findings with archaeological knowledge, the goal is to elucidate bacterial genetic evolution that was shaped by human influence and make predictions to the future
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periods of time in the right conditions, may also act as windows to the past. In this work we will compare ancient and modern bacteria with various methods. By integrating the findings with archaeological