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structures, etc to solve challenging problems is required (there will be a practical coding assessment during recruitment) A solid mathematical foundation is required (multivariable calculus, linear algebra
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code for the Eclipse Arrowhead. Projects typically involve working with both academic and industrial partners in Europe. Hence, collaboration with the software and automation industry in the form of both
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automation architecture and the use of AI and Machine Learning (ML). Targeted results include academic papers and contributions with open-source code for the Eclipse Arrowhead. Projects typically involve
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experiments to evaluate protein self-assembly. An ability to derive equations and writing code to analyze data on protein self-assembly. Practical experience in measuring protein size distributions and
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automation architecture and the use of AI and Machine Learning (ML). Targeted results include academic papers and contributions with open-source code for the Eclipse Arrowhead. Projects typically involve
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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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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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. 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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, 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