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Field
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–time modelling in GIS and/or statistical software (e.g. R) to visualize and analyze the spread and control of diseases in colonial Africa. The fellows will work closely with the PI and other project
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as Postdoctoral researcher. Experience with advanced DNA sequencing analysis, including: - Proficiency in computational skills including programming (e.g., bash, Python, R) and command-line interface
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, Computer Science, Image Analysis, or another quantitative discipline. Achieved proficiency in statistical programming (e.g., R or Python) and familiarity with advanced analytical techniques (e.g., causal inference
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with high-performance cluster-based computing Competence in computational programming, preferably using python or R Experience working with fMRI data Experience working with PET data Familiarity with git
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skills including programming (e.g., bash, Python, R) and command-line interface in Unix/Linux environments - Experience with bioinformatics pipelines for DNA sequencing data analysis (e.g., variant calling
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, Data Science, Machine Learning, or a closely related field. Programming skills in Python, R, or similar data science languages. Preferred qualifications A doctoral degree or an equivalent foreign degree
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researchers with: A PhD in Medicine, Pharmacy, Biostatistics, Epidemiology, Computer Science, Image Analysis, or another quantitative discipline. Achieved proficiency in statistical programming (e.g., R
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master's and/or PhD students. This role develops skills for academic faculty positions or industry R&D leadership. What we offer Chalmers provides a dynamic work environment in Gothenburg —Sweden’s vibrant
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programming, preferably using python or R Experience working with fMRI data Experience working with PET data Familiarity with git and GitHub Familiarity with best practices in reproducibility and open science
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statistics, including programming in commonly used languages such as R. A valid category B driver’s license, enabling fieldwork in Sweden and abroad. Very good oral and written proficiency in English