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in programming (e.g., Python), data analysis, and machine learning, and a curiosity about applying computational methods to diverse domains such as biology, psychology, and medicine. Candidates
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of computer science, mathematics, applied mathematics or statistics. Applicants must demonstrate proficiency in machine learning or statistical modelling and have some experience with computing through Python, R or C
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, Python is an asset ;•Excellent communication and collaboration skills ;•Excellent verbal communication and academic writing skills in English, any other language such as French, German, or Luxembourgish is
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experience in regression analyses (SEM, multi-level, discrete choice behavior modeling…) based on statistical software (R, STATA or SAS) ;•Excellent skills in GIS, Python is an asset ;•Excellent communication
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yourself quickly with new concepts. Enjoyment of scientific work. Very good/good programming skills (at least in Python and C++). Good written and spoken German (at least C1 level) and English. In-depth
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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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this role, we are looking for candidates to have the following skills and experience: Essential criteria A working level knowledge of R and/or Python Some experience in independently designing a research
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projects and staff, with an established international publication record, and success in leading research grants. Strong programming skills in a statistical language, such as R, Stata, Python or C/C++, etc
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> Understanding of financial products, market dynamics, and microstructure > Low-level computer languages like C++ or Python, Java, etc.; awareness of strength in particular language and ability to solve more
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framework and execution of projects > Understanding of financial products, market dynamics, and microstructure > Low-level computer languages like C++ or Python, Java, etc.; awareness of strength in