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, with a PhD in the field of economics, (business) mathematics, (business) informatics, marketing, management; Experience in data analysis, statistical and econometric modeling; Good skills in writing
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development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section
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for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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: Participation in the development and analysis of new computational methodologies for scientific problems, often customized to complex and large-scale scientific applications Delivery and support of mathematical
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complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section of the Computer Science and Mathematics (CSM) Division. CSM delivers fundamental and applied research
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complexes using methods common to structural biology and biophysics Independent implementation and analysis of multidimensional solution NMR measurements on proteins and/or nucleic acids Determination
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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | 2 months ago
. - Strong background in mathematical modeling (preferably physiological systems) and/or control theory. - Experience in signal processing and artificial intelligence methods (time-series analysis, machine
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, epithelial and immune cells in a more complex co-culture settings to study IBD-specific mechanisms and patient-centric outcomes such as fatigue and wellbeing. This study has a strong discovery science
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TeMPlex project, which develops a new topological approach to the analysis of complex dynamics from simulated or observed data. The study of hydrological data is one of the applied research axes