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data with computational modeling Programming skills in Python, R, or another relevant language. Interest in machine learning, statistical modeling, structural bioinformatics, or analysis of large-scale
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programming language, preferably Python or R. Experience in any of the following areas: large scale sequence analysis, microbial genomics, human gut microbiota research (shotgun metagenomics), Metagenome
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methodological innovation as well as real biomedical applications. Applicants should include a personal letter and CV with information about programming skills. Eligibility requirements The position follows
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Data-Driven Life Science (DDLS) programme. We have a national mission and develop services for life science data and e-infrastructure, as well as work with issues related to FAIR principles, open science
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through the department’s involvement in engineering and master’s programs. Our research and teaching are conducted within seven divisions with different research focus. Read more about us here About the
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, animals, fungi, bacteria, etc.). The Program for Plant Ecology and Evolution, where this position is located, is home to eight research group focusing on genomics, adaptation and speciation as well
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sequencing platform Proven ability to rapidly learn new methods and independently establish laboratory protocols Excellent oral and written communication skills in English Great emphasis will be placed
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predictive deep learning models, and physical mechanistic models (thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming, mathematics, physics. You will