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: Bachelor's or Master's degree in statistics, mathematical statistics or medical statistics. Good knowledge and experience in statistical programming software (R, SAS, or Stata). At least three years of
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competitive level. Proficiency in a scripting language like R or Python, as well as ability to work efficiently in a Linux command-line environment and on high performance computer clusters. Excellent
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characterization (SEM, EDX, etc) Aerosol physics Data analysis and programming (e.g., MATLAB, Python, or R) Interdisciplinary teamwork Fieldwork and particle sampling e.g. on/from vehicles Swedish language skills
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Experience in collaboration with industry or public sector organizations Knowledge of R, Matlab, Julia. High demands are placed on being able to plan, organize, document and follow up one's work independently
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, motivation and flexibility at work. Meritorious for the position are: Good programming skills (eg R and/or Python). Miscellaneous The employment is time-limited for one year, however at the latest until on 30
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(e.g. Python, R) Experience working with Gram-positive bacteria Consideration will also be given to good collaborative skills, drive and independence, and how the applicant, through his or her experience
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experience of application of artificial intelligence including machine learning and deep learning algorithms. Documented programming skills in Python, R, or MATLAB. Very good knowledge of English, spoken and
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one or more of the following areas: Single-cell and spatial transcriptomic methods Scientific programming in Python and/or R Machine learning or deep learning frameworks (e.g., PyTorch, TensorFlow
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on individual assessment. Special weight will be given to: Documented experience in analysing ecological or biological data using Python or R. Basic knowledge of database management (e.g., SQL), data retrieval
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neoantigen targeting. Substantial experience working in bash scripting and HPC Linux/Unix environment. Proficiency in programming (preferably Python, SQL, groovy, R, html, JavaScript, and bash). Good knowledge