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relevant programming languages (Python, Perl, R). A good understanding of molecular biology, genomics experiments and bioinformatics is expected. Candidates with proven track record in terms of publications
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) or reactive transport simulation codes (e.g., OpenFOAM, StarCCM+, PFlotran, TOUGHREACT, PHT3D etc.). Good programming skills in C/C++, Fortran, or Python. Knowledge and experience with HPCs. The work will be
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(such as Python, R, Bash) Documented research experience in at least one of these: large-scale omics data analysis, machine learning and/or deep learning. Candidates with coursework or other relevant
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programming (such as Python, R, Bash) The candidate is required to have documented research experience with large-scale omics data analysis Experience with high performance computing is a strong advantage
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from buildings, mobile network data) Database management skills (e.g., PostgreSQL) Statistical expertise related to big data processing and high-performance computing (Python, R) GIS software proficiency
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from buildings, mobile network data) Database management skills (e.g., PostgreSQL) Statistical expertise related to big data processing and high-performance computing (Python, R) GIS software proficiency
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should hold a PhD degree in molecular biology, biochemistry, cancer biology or related fields. Expertise in biochemistry, transcriptomics, NGS data analysis and basic programming in R/Python is a pre
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The successful candidate should have: Doctoral degree in a relevant field (e.g. bioinformatics, genetics, computer science or molecular biology) Proven programming skills (preferably Python, other languages also
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degree in conservation science, ecology, geoinformatics, mathematics, or other relevant fields. Applicants should have experience in statistics, programming languages and tools, primarily in Python and/or
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and machine learning tools, primarily in Python, Web/Cloud Services and NoSQL/SQL database (MongoDB/Postgres). Additional experience in R, JavaScript, ReactJS, Mechanical Turk would be advantageous but