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Field
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skills including programming (e.g., bash, Python, R) and command-line interface in Unix/Linux environments - Experience with bioinformatics pipelines for DNA sequencing data analysis (e.g., variant calling
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simulation tools, such as MATLAB and Python. Ability to work both independently and collaborate in teams. Consideration will also be given to how the applicant’s experience and skills complement and strengthen
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are required. Advanced user skills in electronic structure calculations and experience with programming (e.g. in Matlab or Python) are required. Additional qualifications Consideration will also be
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, Data Science, Machine Learning, or a closely related field. Programming skills in Python, R, or similar data science languages. Preferred qualifications A doctoral degree or an equivalent foreign degree
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and practical skills in the field of data science, especially multimodal data analysis. Experience on image processing via machine learning. Programming skills (e.g., Python) are required. Ability
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geocomputation and programming competence in a scientific programming language such as R, Julia, or Python. Demonstrated experience in data curation and management. Willingness to work as part of a
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multimodal data analysis. Experience on image processing via machine learning. Programming skills (e.g., Python) are required. Ability to communicate effectively in both spoken and written English. Merits
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the time the employment decision is made good ability to develop and conduct research of good quality pedagogical ability experience in R and / or Python. statistical knowledge and application experience
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Computational Science or Data Science Compute-intensive Statistics or Applied Mathematics Proficiency in a relevant programming language, e.g., Matlab, Python, R, C/C++ is expected and practical or research
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or Python) and familiarity with advanced analytical techniques (e.g., causal inference, machine learning, time-to-event analysis). Interest in medicine or clinical epidemiology and capability to transfer