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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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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
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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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analytical and modeling skills. Demonstrated ability to listen to and communicate with differing stakeholders. Excellent verbal and written communication skills. Ability to multi-task and work effectively in a
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, fitting to the project plan. Your profile The candidate should have a PhD degree in natural resource economics or a similar subject. Proven experience in data analysis of markets related to natural
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processing quantum information. The memories must be optically active so distant nodes in a network can be entangled via single photons emitted by the memories. Erbium in silicon is currently subject to