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. Proficiency in handling large datasets in R or another coding environment as well as good botanical skills are important merits. We also place great importance on personal qualities, as the candidate will
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academia and industry. Requirements The following qualifications are required: Solid knowledge in mathematics and statistics, in areas such as linear algebra, probability theory, machine learning, high
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. -Machine learning code generation for autonomous translation of payload data semantics. -Dictionary learning and algorithms for translation between major data modeling languages. -Model-based System
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both qualitative and quantitative methods, e.g., case studies, interviews, applied analytics, and field experiments. By developing new theories and applications, you will have the opportunity to solve
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of Medicine Work Assignments Manage and analyze population-wide data from Swedish national registries. Use advanced statistical methods (SCCS, survival analyses). Link and structure large datasets (ICD codes
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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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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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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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, little code development and programming is expected since our numerical models and tools have been developed and have a long, successful background. However, analyzing simulation results and spacecraft