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programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication skills, and excellent English. Relevant
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project suits applicants with strong quantitative skills, an aptitude for coding, and an interest in textual analysis, large language models and computational methods. Previous experience in Python/Matlab
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 20 days ago
recruitment, Ph.D. is an advantage, · practice min. 1 year in developing and implementing computer vision or image processing algorithms, · proficiency in Python (and optionally C/C++), · familiarity with image
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
Python. Knowledge of a distributed computation framework is a plus. The candidate should be proficient in English. Knowing French is not necessary, as daily communication in the team is mostly in English
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++, Python or Matlab). Ability to work in an interdisciplinary team and interested in collaborating with industrial partners. Motivated to develop your teaching skills and coach students. Fluent in spoken and
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. Requirements Masters degree in physics (grade of "good" or better). Experience in scientific programming (e. g., Python, Julia). Interest in experimental physics. Good command of English (that will be
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or above. Fluent oral and written communication skills in English. Programming skills in R, Python, or similar are essential. Previous experience with meta-analysis is desirable but not essential. Previous
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statistical and mathematical modelling of infectious diseases. You have experience with scientific programming (e.g. in R, Python) If you have experience with the research topic, this is a plus. You have
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Programming skills (commonly C++, Python, or similar languages used in HEP frameworks), Monte Carlo simulation methods and data analysis techniques Interest in connecting ideas and people across disciplines
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-economic considerations supporting equitable LCT deployment Experience working with Distribution Network Operators or Utilities on research, innovation or consulting projects Experience working with Python