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in complex in-situ environments. The key responsibility of the position is to develop post-processing methods to extra essential features from the collected measurement data despite drone positional
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complex data, and contribute to the preparation of grant proposals, progress reports, and peer-reviewed publications. In addition to the research responsibilities, the Postdoctoral Researcher will actively
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and Synthetic Biology biologists, chemists, mathematicians, and engineers work together with the goal of understanding and quantitatively describing the complex functioning of living organisms. We
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advanced statistical methods to analyze complex datasets and interpret findings. ● Develop and validate statistical models that support scientific and clinical research objectives. ● Present
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microfluidics channels experimentally. The particle dynamics under solute concentration gradient will be analyzed and new methods of manipulating particles in complex geometries will be developed. Application
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on the design and development of mathematical, probabilistic, and statistical frameworks for drawing inferences from complex biological data in collaboration with scientists at the Snow Centre for Immune
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position (m/f/d) in multiscale, multiphysics, mathematical modelling of plant morphogenesis as soon as possible. Description of the project Plant growth is a complex hydromechanical process in which cells
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enzymes/complexes. 6. Studies of ETFs containing modified flavins. 7. Kinetic characterizations. 8. Investigation of possible significance of buried disulfide bonds. 9. Fluorescence including single
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evidence based psychotherapy interventions and advanced experience providing treatment and assessment of patients with a range of complex presenting concerns in the perinatal period Preferred Qualifications
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science, and materials engineering, with emphasis on understanding material behavior in complex chemical and radiological environments. Research activities may include the design of functional nanomaterials