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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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species, the PhD student selected for this project will investigate unanswered questions on how complex behavioural phenotypes and social systems develop and evolve. Specifically, the project will focus
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behaviours evolve is a long-standing goal in evolutionary biology. Using the domestic dog as a model species, the PhD student selected for this project will investigate unanswered questions on how complex
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CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm
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mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. Experience in applying or developing machine learning
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corresponding knowledge in another way. A successful candidate should have excellent study results and a strong background in mathematics. The applicant should be skilled at implementing new models and algorithms
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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