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of the important technologies in the field of LAIs. The common approach to manipulate the performance of LAI suspensions release rate relies on changing particle size distribution of the crystalline API
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currently one of the important technologies in the field of LAIs. The common approach to manipulate the performance of LAI suspensions release rate relies on changing particle size distribution
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are considered an advantage: formulation design of suspensions, particle size characterization, XRPD, solid stage NMR, low energy Raman microscopy. The candidate must be independent and fluent in English both
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compatibility and filter design in power electronics. Proven-records in peer-reviewed publications in the most recognized power electronics journals. Hands-on experiences in experiment development and testing
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tracking and autoencoders for amplitude and phase noise characterization Bayesian filtering Building experimental set-ups for noise characterization Reinforcement learning strategies for comb generation
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focus on the following areas: Subspace tracking and autoencoders for amplitude and phase noise characterization Bayesian filtering Building experimental set-ups for noise characterization Reinforcement
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throughput metal nano particle material synthesis and characterization Comprehensive electrochemical test platforms & energy conversion systems Operando measurement using synchrotron X-ray & neutron Technical
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filtering, preferably applied to real-world problems. Experience with dual control and/or active sensing and measurement scheduling will be considered an advantage. A track record of publications in leading
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converter design for scalable design 5) Electromagnetic compatibility and filter designing in power electronics 6) Multiphysics and time-frequency modeling of electric field Proven-records in peer-reviewed
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sniffers, with software modules performing equipment faults detection, data filtering and quality control, to provide condensed reliable phenotypes records ready for quantitative genetic analysis, breeding