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into consideration. We are looking for someone with a background in environmental governance or a related field, and documented scientific skills in: coding of policies and instruments. survey methodology within
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tools, version control (Git), and collaborative coding (strong merit) Strong understanding of statistics and machine learning for high-dimensional data (strong merit) Experience with workflow management
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. 10 pages of appendices) Full list of publications A list of the doctoral thesis and the other three scientific works that the applicant wishes to cite. State the DOI code for each publication
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, machine learning, molecular biology, or a related field is required. If not yet completed, please provide the expected completion date. A computational background and the ability to code independently in
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scripting language (Python or R) database development, maintaining & sharing code repositories. Curiosity to solve fundamental biological questions and enthusiasm to lead new independent projects. Ability
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tools, version control (Git), and collaborative coding (strong merit) Strong understanding of statistics and machine learning for high-dimensional data (strong merit) Experience with workflow management
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, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and collaborations with experimental
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purification and/or Python code development. Consideration will also be given to collaborative skills, drive and independence, and how the applicant, through experience and skills, is deemed to have the
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structural biology. Merits are: Experience from protein production and purification and/or Python code development. Consideration will also be given to collaborative skills, drive and independence, and how
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at compile-time, as is often the case, then the problem is further complicated by the fact that no single mapping is optimal for all combinations of matrix sizes. As a consequence, any code generated