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Solid experience with statistical modeling, machine learning, or AI Practical skills in R and/or Python for data analysis and model development Familiarity with microbial ecology, genomics, or food safety
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experience in quantitative modelling, preferably using R. Is fluent in English (spoken and written) and has good communication skills. Is enthusiastic about developing replicable models to address complex risk
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., Python, R, MATLAB) Experience in built environment monitoring Fluent English skills, both written and spoken. Ability to publish the research results in high-reputation international journals Personal
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of microbial biogeochemistry Proficiency in scientific programming and data analysis using tools such as Python, R, MATLAB, or similar Excellent written and verbal communication skills in English
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data analyses in R Strong English communication skills; both written and orally Experience with the Snakemake workflow management system An interest in working with antimicrobial resistance (AMR
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to outbreak detection, investigation, and infectious disease surveillance, including strong data analysis and statistical skills, and experience using R. Have experience in planning and delivering specialised
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to engage in interdisciplinary collaboration and teaching. Good programming capabilities in advanced analysis software (e.g., Python, R, MATLAB, Julia, or similar) and mathematical optimization suites
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microscope), signal transduction , and 3D cell culture Experience with data analysis and visualization (e.g. R environment and Cytoscape; Imaris) At least one publication in relevant peer-reviewed
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grasp of spatial statistical methods in R is considered highly advantageous. Excellent communication skills are required, with proficiency in English and preferably one of the Scandinavian languages