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R/Python and reproducible workflows. How to apply Send as a single PDF: CV and publication list; A max. 2-page research statement outlining your interests, skills, and how your work fits the possible
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, or pigmentation biology. Familiarity with immunity pathways; QTL/GWAS; or pedigree analyses. Competence in R/Python and reproducible workflows. How to apply Send as a single PDF: CV and publication list; A max. 2
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(NVS), particularly in epilepsy. designing, implementing, and validating numerical solvers using MATLAB and Python, leveraging realistic brain geometries derived from MRI. integrating multimodal
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, gradient coil design, etc. programming skills with MATLAB, C/C++ or Python skills and experience in manufacturing methods, such as 3-D printing experience in MRI image reconstruction (nonuniform FFT
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require the following: Strong programming skills (Python, C++, JavaScript frameworks etc.) Knowledge of digital twin technologies and simulation platforms Knowledge of Deep Reinforcement Learning frameworks
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devices Good understanding of superconductivity and topological materials Mastering of micro and nanofabrication techniques Automation of experiments with MATLAB, Python, or equivalent At least a working
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electron gases and semiconducting devices Good understanding of superconductivity and energy bands in materials Mastering of micro and nanofabrication techniques Automation of experiments with MATLAB, Python
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of physical systems AI-based condition monitoring Reinforcement learning Programming skills are required, with Python experience preferred. Theoretical understanding and hands-on experience with electric
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-cycle aspects is a big asset. In this work, you also need programming skills (e.g. Python, Julia) to merge concepts of chemical engineering, operations research and computer science, as you may also need
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-C, Omni-C Experience with Python is an advantage Whole exome or/and whole genome sequencing data analysis We encourage candidates to develop their own projects and explore new research directions