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large multi-dimensional datasets using statistical tools such as positive matrix factorization (PMF) and cluster analysis Investigate the influence of different urban emission sectors on atmospheric
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. Requirements Essential Requirements PhD Degree in a relevant scientific field (e.g. genetic epidemiology, molecular epidemiology, statistical genetics, biostatistics, health data science, etc) to be obtained max
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innovative strategies to improve human health. HT is composed of five Centers: Health Data Science, Genomics, Computational Biology, Neurogenomics and Structural Biology. The Centers work together to enable
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variables related to the weather conditions, road surface micro- and macro-texture, tire properties, driving speed, and behaviours of road users. This project aims at studying different data sources such as
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data generated by super-resolution STED microscopy, FLIM, FRET and FCS. Candidates must hold a PhD in cell biology, biophysics or biochemistry along with experience in advance quantitative microscopy
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. We will develop an isotope version of a process-based CH4 model and update the representation of different wetland types in the model using a data inversion approach. Additionally, we will analyze
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Synthetic Biology, Molecular Plant Pathology, Comparative Genomics, Transposon Biology, Cell biology, or Related Field High level analytical capability Ability to communicate complex information clearly
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Excellence Centre for Computational Social Science (SweCSS), which is a joint initiative between the Institute for Analytical Sociology (IAS) and the Department of Computer Science (IDA). SweCSS researchers
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Environmental Engineering focusing on different research fields such as catalysis, separation, energy generation, conversion and storage, and organic optoelectronics intelligent and advanced polymers and
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to evaluate to what extent ongoing scientific discrepancies and uncertainties are a consequence of (i) people using different methodological approaches, (ii) the types of data considered (including possible