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processes with relevance for irrigation and drainage Have knowledge in programming in R and Python for statistical analyses and modelling. This includes experience in applying these skills in projects Have
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Qualifications · PhD in Astrophysics, Radio Astronomy, Space Physics, or a related field. · Experience with solar radio observations, space weather, or signal processing. · Strong programming skills in Python
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science, phase change phenomena, or micro/nanoscale heat transfer Good data analysis and programming skills (e.g., Python, MATLAB, or similar) Strong motivation, good communication skills, and the ability
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good knowledge of experimental research methods and statistics, experience with sta-tistical software (e.g. JASP, R)•Programming skills (e.g. in Matlab, Python/Psychopy and/or R) or willingness
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 2 months ago
min. 1 year, · experience with Linux operating systems and work in bash or Python, · experience with HPC applications including their installation, configuration and execution, · knowledge
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background in stochastics (probability theory and statistics) is desirable Good English as well as programming skills in R, python or C/C++ Pedagogical and presentation skills. German language skills are not a
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, Matlab, Python or R) Demonstrated a high level of expertise in analysis of large and complex datasets Detail-oriented and excellent communication skills Excellent command of written and spoken English
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code via differential testing)We focus on techniques that apply to real-world software systems. E.g., in the past, we have developed techniques that find and fix bugs in widely used Python, Java, C/C
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competencies and skills within programming and statistical analyses (e.g., in Python, R, or STATA) are a requirement. A Background/knowledge in media technology is a requirement. The applicant must be able
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open-source code (Python) that is high-performing and scalable to comprehensively quantify uncertainties using probability theory. This is where you will contribute: in the application of the developed