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Field
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transport, FMR, and high-frequency lock-in measurements. Program role Design and lead validation experiments at the major program decision gates, co-author theory and experimental publications, and contribute
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working with spatio-temporal datasets, high-frequency observational time series, or meteorological/climatological datasets. *Prior experience in developing automated quality control (QC) pipelines, data
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particular emphasis on their electrical, radio-frequency, and optical responses. The specific research directions will be chosen in connection with ongoing activities within QMAT and may include, but are not
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converter as a programmable heat source — one whose voltage level, output waveform, and frequency spectrum actively shape the thermal profile. Working at the interface of electrical and thermal engineering
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characterization of materials. • Development and operation of experimental test benches under high-vacuum conditions. • Definition of test protocols, including detailed test procedures and acceptance criteria
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, progressing to ex vivo tissue where appropriate. Quantitative studies will determine how access frequency, dose and device parameters influence molecular yield or delivery efficiency, recovery kinetics
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
. The successful candidate (m/f/d) must have previous hands-on experience with: Ultra-high vacuum systems (design, construction, day-to-day collaboration with the mechanical engineering department/ workshops); Light
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intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar
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PhD with a specialisation in electromagnetics, antennas, microwaves or high-frequency electronics. A solid knowledge of device design, electromagnetics, circuit theory and the use of commercial
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transitions of information flow networks, near critical events. The successful candidate will: Develop and apply Transfer Entropy estimators to high-frequency financial time series. Characterise the temporal