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for the sustainable planning of wind power in forest landscapes. For more information, see: www.slu.se/forskning/forskningskatalog/projekt/w/windyforests/ Your profile You must hold a PhD in forestry, ecology
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. This opportunity will prepare candidates for a range of competitive positions in academia or industry that involve computational biology/chemistry, machine-learning for biological or chemical data, metabolism, and
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practice or other forms of appointment/assignment relevant to the subject area. Candidates should have experience in some of the following areas: data analytics, computational modeling, programming
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
/or learning analytics for teacher learning and pedagogical innovation. Familiarity with theory and pedagogical implementation of digital literacy and AI literacy in the curriculum, and leadership
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to study enzymes of interest. Pursues in vivo studies to evaluate enzyme localization and function as needed. Analyzes research data, summarizes results, and writes/contributes figures to research papers
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enzymes of interest. Pursues the precise trapping and characterization of reaction intermediates. Analyzes research data, summarizes results, and actively writes and contributes figures to research papers
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immunohistochemistry, ELISA, Western blotting, qRT-PCR, and related methodologies. Analyze, interpret, and present experimental data at group meetings, scientific conferences, and in publications. Contribute
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) for data analysis and visualization. Strong analytical, organizational, and time-management skills. Oral and written communication skills, including the ability to communicate research findings to both
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) for data analysis and visualization. Strong analytical, organizational, and time-management skills. Oral and written communication skills, including the ability to communicate research findings to both
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September 1, 2026, or as mutually agreed and subject to completion of the University hiring process. Position Duties 80% Research Develop analytical, computational, and reduced-order models for problems in