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and/or dynamic approaches to detect them in the code or prevent their execution at runtime. Keywords for this project: code analysis, static analysis, reverse engineering, defense mechanisms
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to Human sequences and viceversa - Experience in Culturing Dictyostelium discoideum - Experience in Genetic engineering and developing CRISPR constructs - Experience in Bioinformatics and data analysis
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well as analysis and evaluation of the results of these. Research publications in reputable scientific journals, where the candidate has a lead author position Ability to present and communicate research ideas
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long-term experiments. Your profile The candidate must have a PhD degree in silviculture and/or forest management or a very similar subject. The candidate must have proven experience in data analysis and
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: Quality of the master degree in a relevant area Written and oral proficiency in English Capacity for analytical thinking and quantitative analysis Ability to work independently, to take initiative and be
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qualifications Documented experience with data analysis and programming (e.g., Matlab, Python or R). Experience of risk assessment and/or decision analysis Experience of probabilistic methods such as Monte Carlo
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thinking and quantitative analysis Ability to work independently, to take initiative and be creative Ability and willingness to work collaboratively in a team, including with people of different nationality
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data analysis, while contributing to fundamental questions in evolutionary biology. We welcome applicants with training in biology or related quantitative fields (mathematics/physics/computer science
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analysis, modelling and field experiments, our project will illuminate the way forward for assisted migration (AM) as a pathway to sustain, and to restore in case of degradation, the biodiversity and
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efficiency, flexibility, and sustainability. Within this research project, Linköping University is collaborating with leading industrial companies to develop digital analysis and decision-support tools