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: The desired candidate demonstrates strong theoretical and methodological capacities as well as documented expertise in computational methods. Documented experience with R or Python programming is also very
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Scientific work and R&D activities, as well as a list of these Cover letter describing the applicant’s qualifications, how they match the position’s profile, and motivation for the position Project description
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electronically: Diplomas with grades Master’s thesis/main thesis Certificates Scientific work and R&D activities, as well as a list of these Cover letter describing the applicant’s qualifications, how they match
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the link “Apply for the position”. The following must be uploaded electronically: Diplomas with grades Master’s thesis/main thesis Certificates Scientific work and R&D activities, as well as a list of these
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for the position”. The following must be uploaded electronically: Diplomas with grades Master’s thesis/main thesis Certificates Scientific work and R&D activities, as well as a list of these Cover letter describing
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References Academic work and R&D projects, as well as a list of these Any other relevant documentation The applicant is fully responsible for submitting complete digital documentation before the closing date
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Programming skills (e.g., Python, MatLab, R) Publications related to the field of the PhD research topic Language requirement: Good oral and written communication skills in English English requirements
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evidenced in relevant publication(s) Proficiency in programming and data analysis in the statistical software environment R, Python, or other relevant programming languages, as evidenced in relevant
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the link "Apply for this job". The following documentation must be uploaded electronically: Certificates with grades Master’s thesis References Academic work and R&D projects, as well as a list of these Any
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experience with R or Python programming is also very desirable. Experience in one or more of the following is an advantage: finite-sample statistical theory, concentration inequalities, statistical optimality