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-FATES model using: Snow cover Flux tower data The idea is to combine established iterative ensemble Kalman methods with novel emerging machine-learning-enabled model calibration techniques recently
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to several microseconds via recoil distance Doppler shift (RDDS) and fast timing methods, respectively. Planned experiments include RDDS lifetime measurements following multinucleon transfer reactions with
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Doctoral Research Fellow in Applied Philosophy Apply for this job See advertisement About the position A position as PhD Research Fellow (SKO 1017) in philosophy with an applied orientation is available
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flow Experience with ice texture formation Skills in advanced computational methods. Knowledge of c++ program-ming language is particularly desirable Experience with supervising Bachelor/Master/PhD
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to the qualification requirements. Applications lacking this information will not be considered. Applicants must hold a PhD in life sciences, natural sciences or medicine, with a proven track record of cardiac research
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position within the research project “Statistical Methods for Online Detection of Anomalies” (SODA), newly funded by the Norwegian Research Council and affiliated with Integreat – the Norwegian Centre
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knowledge for precision medicine in psychiatry, building on advanced statistical methods for analysis of large-scale human genetic and neuroimaging data, to better understand how biological, psychological
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should have hands-on experience with a broad range of methods in molecular biology, cell biology, and biochemistry that may include mammalian tissue culture, immunoprecipitation and confocal microscopy
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. Contact information Anne-Line Sandåker: a.l.sandaker@sum.uio.no Formal regulations Interviews with the best qualified candidates will be arranged. According to the Norwegian Freedom of Information Act
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construction of optical diffraction tomography or quantitative phase microscopy systems. Experience in the development of fluorescence-based super-resolution microscopy methods such as structured illumination