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research profile with strong research groups in a number of different areas. The research carried out at the department is performed in close connection with the clinical activities at the Uppsala University
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environments, where different selection pressures impose conflicting demands on cellular biology and lead to complex trade-offs. For example: better performance at high temperatures often come at the cost
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data at an internationally competitive level. Experience of biostatistics or machine learning approaches Proficiency in a scripting language like R or Python, as well as ability to work efficiently in a
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principles and approaches for managing and sharing different types of research data, as well as being engaged in competence-raising networking within research data management in Sweden. To perform the work
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evolution across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods and statistical analysis (https://cgrlab.github.io
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for The following requirements are mandatory for the role: A university degree in a relevant area Documented experience in Python and/or other relevant programming languages Documented experience from working in
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, seminars and conferences. The work duties will also include teaching and other departmental duties (no more than 20%). The candidate will participate in different research projects with duties such as