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the U.S Experience working with spatial data and machine learning models. Strong knowledge of programming languages, such as Python, R . Demonstrated skills in scientific writing, publications, and
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imprescindible, se valorará positivamente en el proceso de selección la titulación de Máster y la experiencia/conocimiento en algunas de las siguientes áreas: lenguajes de programación (Python, JavaScript
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 25 days 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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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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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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. • Demonstrated skills in bioinformatic and statistical analyses of microbiome and ecological data including sequencing data. • Analysis skills: write and execute code in R, Python, GitHub etc., high-performance
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measure leg-generated forces. Investigate relationships between neural activity, muscle properties, and joint movement. Code in MATLAB or Python for data analysis, modeling, and tracking tasks. Assist with
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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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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