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magnetoencephalography (MEG) and behavioral tests Data analysis using Matlab or Python (speech-brain interactions, synchronicity measurements, connectivity measurements between sources) Presentation and publication
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materials synthesis and characterization familiarity with operando or in situ techniques basic programming or data-analysis skills (e.g. Python, MATLAB) experience in collaborative or international research
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semiconductors. You should have experience working in a laboratory environment, along with basic programming and data analysis skills (Python, MATLAB, LabVIEW). High motivation, very good English or German skills
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, including SPICE and related tools (LTspice, Cadence, MATLAB, Python) Excellent communication skills and ability to work in a team are essential Strong English skills will be required for the international
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electrical or mechanical engineering Strong mathematical skills Experience in modelling energy systems Very good knowledge and experience in programming (e.g. Python, Matlab, C, C++) Fluent in written and
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the analysis and simulation of analog, digital, or mixed-signal circuits, including SPICE and related tools (LTspice, Cadence, MATLAB, Python) Excellent communication skills and ability to work in a team are
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with emerging memory devices Experience with simulation tools (LTspice, Cadence, MATLAB, Python) Interest in brain-inspired computation, energy-efficient hardware, and experimental validation Ability
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MATLAB / Phyton • Team player skills and enthusiasm to work in a multi-disciplinary, collaborative environment. • Excellent command of the English language. Our Offer: We offer the unique chance to play a
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of records. • Strong motivation, scientific curiosity, and commitment to scientific excellence. • Strong programming skills in MATLAB / Phyton • Team player skills and enthusiasm to work in a multi
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systems under various jamming scenarios (single‑tone, multi‑tone, frequency‑hopping, pulse, and arbitrary jamming). ▪ Using MATLAB and tools such as the Remcom Ray Tracing Suite to model realistic