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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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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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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
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, HampsonRussell, RokDoc, Interactive Petrophysics, PowerLog, Jason, and Visage Programming skills (e.g., Python, MatLab, R) Publications related to the field of the PhD research topic Language requirement: Good
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the statistical software environment R, Python, or other relevant programming languages, as evidenced in relevant publication(s) The following qualifications will count in the assessment of the applicants
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experience with spatiotemporal modelling Documented experience with Geographic Information Systems Documented experience with programming in either Python or R Documented experience with newly established
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either Python or R Documented experience with newly established diseases due to climate change Fluent oral and written communication skills in English Desired qualifications: Experience with disease
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. Experience analyzing large-scale datasets (e.g., scRNA-seq, TCR/BCR sequencing) and familiarity with R or Python are highly desired. Personal qualities: We seek a candidate who is intellectually curious
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should be proficient in conducting quantitative analyses. Experience with large language models, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement. The