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, Machine Learning, Physics, Mathematics, Engineering, or equivalent A solid publication record with research publication(s) in peer-reviewed international journals Good programming skills (ideally in Python
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programming languages including bash scripting, MATLAB, C/C++, Golang, and Python Working knowledge of free5GC/OpenAirInterface/srsRAN open-source software stack. Practice in other open-source mobile network
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(secular variation, reversals, excursions) Programming skills, preferably in Fortran and Python Experience in international collaboration Fluent in English (written and spoken) Demonstrated ability
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. Experience required includes proficiency in R and Python programming, experience with NGS data analysis, strong statistical background, track record of computational method development. Candidates must also
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analysis of genomics data, including in R or Python. Strong project management skills Ability to develop, manage and maintain internal and external working relationships Highly developed written and verbal
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Postdoctoral researcher (f_m_x) - Waves in the Inner-magnetosphere and their Effects on Radiation...
Work experience with IT programming or scientific programming and with Unix operating systems Advanced knowledge of Matlab and/or Python or IDL Basic knowledge of Fortran and C++ Experience in analysing
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natural sciences Experience with scientific programming and Unix operating systems Experience with various programming languages, including C++, Python and Matlab Ability to work with large datasets
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degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high
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mining, statistical analysis, and computational modeling; Experience with programming languages such as Python, R or similar, as well as familiarity with relevant libraries and frameworks (e.g., TensorFlow
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
related field # Proficiency in programming languages (Python, C/C++, Julia) # Background in machine learning methods # Experience in developing, training, and tuning machine learning models # Prior exposure