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-low-power, non-volatile, and scalable computing platforms. The research aims to develop CMOS interface circuits and system architectures that tightly integrate with spintronic devices for applications
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for space applications. The project aims to drastically reduce power consumption and data bandwidth while increasing processing speed and dynamic range compared to conventional image sensors. The technology
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systematic investigations of charge state distributions, fragmentation behavior under collisional- and electron-based dissociation, and differentiation of peptide isoforms and PTMs using negative ion mode
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scenario analysis A strong publication record relative to career stage Excellent written and spoken English Familiarity with optimization tools Ability to work independently and lead scientific tasks
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developments interest in interdisciplinary research ability to write and communicate in English (e.g., publication, presentation record) ability to collaborate tightly within a multidisciplinary consortium and
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an autonomous framework for setting up, executing, and optimizing complex electronic structure workflows, ranging from ground-state Density Functional Theory (DFT) to many-body perturbation theory methods such as
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analytical skills, including the ability to design, implement, and analyze complex experiments Prior experience with EEG is a plus Prior experience with cognitive modelling is a plus Good command of statistics
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related to the offered position Expertise in color vision and/or visual attention and psychophysics Strong analytical skills, including the ability to design, implement, and analyze complex experiments
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coordination skills, and the ability to collaborate effectively within interdisciplinary research teams. A proven track record in contributing to the preparation or acquisition of external research funding