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critically and analytically, to solve problems independently using the right methods, and to develop an awareness of research ethics. In addition, you will have the opportunity to work on projects, to develop
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, Rural Development and Landscape Architecture, and an undergraduate political science programme in Sustainable Development. The last is a collaboration with the Department of Economics, with whom we also
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experiments, molecular cloning, cell culture, and standard laboratory methods such as flow cytometry and RT-qPCR. The computational work includes, for example, the analysis of omics data and computational
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and its plasticity. The project will be carried out by applying “all optical physiology” methods, i.e. a combination of calcium imaging with optogenetics, in freely behaving animals in Paolo Medini’s
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Technology, Campus Norrköping. Your work assignments This position is motivated by the need for reliable visualization and data analysis methods that support understanding of the increasing amount
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information about us, please visit: the Department of Biochemistry and Biophysics . About the DDLS PhD student program Data-driven life science (DDLS) uses data, computational methods and artificial
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Built Environments Research Area (Sustainable Building group) at the Department of Architecture and Civil Engineering . This research area focuses on developing methods, tools, and strategies to enhance
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various environmental samples ranging from extinct and ancient animals to consumer food products. These fragments can be detected and analyzed using our specialized wet and dry-lab methods. The objective
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aimed at developing data-driven methods to map biological values, identify biodiversity indicators and predict the effects of various management and restoration measures in streams and rivers. The work is
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and written proficiency in English. Experience with analytical methods, such as microbial physiological and biochemical assays or organic matter characterisation. Technical background in data analysis