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strong analytical and problem-solving skills, and be proficient in Python and familiar with relevant programming frameworks and tools. Fluent oral and written communication skills in English The evaluation
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experience with designing experimental studies and analysing quantitative data. Proficiency in either R or Python. Favourable qualifications (not requirements, but give applicants an advantage): Relevant
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. Previous programming experience (C++, Python or Fortran are the most relevant languages). Experience with modern coding workflow, and in particular revision control, and code testing. Previous experience
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
integration, processing, and modeling. Familiarity with research methodologies related to innovation and sustainability. Competence in programming languages such as Python, R, or Stata. Contact information
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an approved doctoral thesis and public defense are eligible for appointment. Good knowledge of programming and data analysis using Fortran, Matlab, Python, or similar programming languages. Experience in using
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MATLAB or Python) Desired qualifications: The ideal candidate should have: Demonstrated knowledge of fluid dynamics Experience with anisotropic viscous flow Experience with ice texture formation Skills in
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to work independently and collaboratively in multidisciplinary teams Desired qualifications Crispr Crispr / siRNA screens Proficiency in programming (e.g., Python, R) Experience with high-throughput
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commonly used programming languages in the field (Python, MATLAB, IDL, Fortran, etc). Prior experience working in the field or other high stress environments. Outgoing and eager to work in a team setting
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. Desired qualifications: The following is a list of skills that are desired, but not required, for the position. Experience with Python and/or Fortran is advantageous. Advanced knowledge of quantitative
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qualifications Crispr Crispr / siRNA screens Proficiency in programming (e.g., Python, R) Experience with high-throughput sequencing data analysis (e.g., CAGE, ATAC-seq, ChIP-seq, or Hi-C) Familiarity with