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learning models, and willingness to learn about new methods, is a plus. · Strong programming skills in Python, and Linux Shell; experience in developing methods as open source repositories at e.g. GitHub is
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the application and theory of electromagnetic geophysical methods, especially magnetotellurics Sound computer skills in Windows and Linux Demonstrable, sound programming knowledge and experience in at least one
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(Linux, HPC clusters). 8. Pursuant to article 5 of RJEC, the selection is to be made based on the evaluation of the scientific and curricular career of the candidate. 9. Scientific and curricular career
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workflows. Familiarity with Linux/HPC environments (for the modeling position). Experience with data visualization or handling large datasets. Demonstrated interest in climate physics and/or cross
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 3 months ago
advantageous Curiosity-driven mindset with a strong interest in advancing the field of computational chemistry Working knowledge of Linux operating systems and job scheduling We offer Remuneration in salary
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background in bioinformatics, systems biology, molecular biology or a related field You should have strong programming skills (preferably in R and Python) and familiarity with Linux Experience in constraint
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scientific meetings. Experience in data analysis using programming environments (e.g. R/Bioconductor) and Linux/Unix systems. *A disability certificate of 33% or higher is a plus
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). Have knowledge of hardware and operating system fundamentals, ideally with a focus on Linux Be proficient in written and spoken English. Be comfortable working in a diverse, inclusive, interdisciplinary
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with > 10k lines of code). Have knowledge of hardware and operating system fundamentals, ideally with a focus on Linux Be proficient in written and spoken English. Be comfortable working in a diverse
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of statistical analysis is required. Strong programming skills in Python, R and Linux-based software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing