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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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circumstances, the doctoral degree can have been completed earlier. Additional requirements: Very good oral and written proficiency in English. Documented experience with coding for data analysis and
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dimensional structures of proteins impact codon choices in coding genes. The recruited doctoral student will develop methods to broadly study patterns of codon usage across organisms and apply large scale
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. Exceptions from the 3-year limit can be made for longer periods resulting from parental leave, sick leave or military service. What you will do 1. Develop and implement group-theory-based codes to identify
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and developing (generative) AI to improve software development processes as well as the quality of software artefacts (e.g., code or designs). We are, therefore, looking for a candidate with experience
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empirically validate how GenAI agents can assist software developers in tasks such as code generation, documentation, optimization, and human-AI interaction workflows. As a postdoctoral researcher, you will be
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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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photophysical processes in organic semiconductors. You will be responsible for the design and construction of a new ultrafast spectroscopy setup, including developing the custom code to perform the measurements
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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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corresponding to English B from Swedish upper secondary school. The assessment will be based on national guidelines. The employment of doctoral students is regulated in the Swedish Code of Statues 1998: 80. Only