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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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systems and basic knowledge in information theory ▪ Proficiency in at least one programming language (e.g. Python) ▪ Interest in AI‑based attack models and security research The following points
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use other programmes, such as Python, Stata, or SAS. Application deadline Please check the HDS PhD website in autumn 2025 for updated information on 2026 HDS PhD programme admissions. The application
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a related field ▪ Strong knowledge in wireless communication systems, signal processing, or radar systems ▪ Proficiency in at least one programming language (e.g. Python) ▪ Interest in hands
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possible. Applicant Profile Applicants should have a university degree in physics, physical chemistry, or biophysics (or near completion). Experience with computational science, programming (C/C++ or Python
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, biochemistry, or other relevant discipline Excellent written and spoken English skills High degree of independence and commitment Good knowledge of python and C++ Experience in relevant work tasks are
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good programming skills (Python or C++) good English skills (spoken and written) interest and enthusiasm for scientific issues good communication skills independent, autonomous and committed way
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Programming skills (e.g., Python, R, C/C++) Knowledge of workflow management systems (e.g., Snakemake) is beneficial High motivation for scientific work and willingness to contribute to an interdisciplinary
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of scientific programming (e.g., Python or R) Experience in handling large datasets is an advantage. Interest in natural language processing, text mining, and machine learning. Interest in the societal
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, advanced programming in Python) in small classes of max. 10 participants. Lecture series: QMB students suggest, invite, and host external speakers at this event. The lectures on QMB-relevant topics