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review) Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice Experience in maintaining high-quality code on Github Experience in running and
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datasets (e.g., electronic health records data or medical images) Ability to use high performance computing cluster Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow
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about geomagnetic field evolution (secular variation, reversals, excursions) Global geo-/paleomagnetic field modelling expertise is advantageous Strong programming skills, preferably in Fortran, Python
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Physics 1. Necessary requirements: 1) Ph.D. in the field of physical sciences 2) good programming skills, knowledge of C/C++, Python in the context of physics, knowledge of Linux/Unix 3) scientific
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Physics 1. Necessary requirements: 1) Ph.D. in the field of physical sciences 2) good programming skills, knowledge of C/C++, Python, Linux/Unix environment, ROOT package 3) scientific achievements in
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., Matlab, Python, or similar are appreciated. Interest in quantum foundations and applications are advantageous. The candidate should further like to work in an international, collaborative research group
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, Python, Julia, MATLAB). A research-oriented attitude. Ability to conduct high quality academic research, reflected in demonstratable outputs. Ability to be self-propelling and drive your own research
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proficiency in R or Python. • Strong organizational and communication skills. • Proven ability to work independently as well as collaboratively in a team setting. • Must be a U.S. citizen or hold a U.S
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, TESPy, or similar libraries. Strong programming skills in Python or MATLAB, including use of scientific libraries (e.g., NumPy, Pandas, Matplotlib, etc). Experience with machine learning (e.g., Scikit
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supervision experience at the BSc and MSc level Interest and experience in developing competitive national and international research applications Experience in programming languages (e.g. Python/R) and