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Field
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advanced programming skills in a high-level computer language (Python or related) hands-on experience with instrumentation development excellent oral and written English skills collaborative mindset Skills
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biology approaches and early-adoption of cutting-edge technologies Operating with Linux and high-performance clusters (HPC) R/Python and Snakemake or Nextflow (or comparable platforms) OUR REFERENCES
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 3 months ago
, or a related field, as well as a keen interest in neuroscience. Good computer programming skills (e.g., C++, Matlab, Python) are necessary. The ideal candidate would have experience in EEG or MEG (or
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Extensive knowledge of X-ray methods Knowledge of synchrotron science Knowledge of catalysis a Experience in energy storage Experience with programming languages (ideally Python), SPS controls system Fluent
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strong background in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python
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(e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python and/or C/C++ ability to work independently and collaboratively in
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areas: + Quantum computing and quantum algorithms + Solid-state physics, computational materials science, or quantum chemistry + Battery materials modeling Excellent programming skills (e.g., Python) and
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data analysis Strong proficiency and experience in scripting/programming, in particular in Python Strong interest in programmatic problem solving and developing pipelines Strong proficiency in the Linux
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in the use of geometric or morphological methods (e.g., Voronoi analyses, clustering methods, Minkowski functionals) Very good programming skills (e.g., in Python, C++, or comparable languages
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programming languages such as Python is advantageous. Practical laboratory skills and an enthusiasm for experimental work are highly valued. Participation in teaching activities (e.g., supervising practical