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of the employment period. Experience in experimental and computational mass spectrometry methods is an advantage. Experience in the preparation of bulk and single-cell BCR libraries is an advantage. Molecular biology
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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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of economics of innovation and the economics of ICTs / AI. Experience with one or more of the following empirical research methods will be considered an advantage: applied microeconometrics and causal inference
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with and/or a well-described interest in the field of economics of innovation and the economics of ICTs / AI. Experience with one or more of the following empirical research methods will be considered
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PhD Research Fellow in Experimental Fluid Mechanics: Tunable hairy surfaces for droplet flow control
is engaged in teaching and research covering a wide spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include
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, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and
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with and/or a well-described interest in the field of economics of innovation and the economics of ICTs / AI. Experience with one or more of the following empirical research methods will be considered
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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