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includes teaching in the Bachelor's and Master's programmes in social sciences and the Master's programme in urban studies and planning, as well as supervision of theses and doctoral dissertations
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. Requirements for the position The task requires: Accuracy and punctuality Excellent IT skills, especially in various reference programs (FileMaker, OneNote, Mendeley) Excellent command of Microsoft Office
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command of Microsoft Office programs Mastery of scientific referencing systems Ability to work independently The following are considered an advantage: Proficiency in OneNote or similar reference programs
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statistical modelling, Solid skills in computer programming for data science (e.g. R, Python), Experience with real-world data analysis tasks, Good communication skills in English, both verbal and written
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in scientific venues in the field, as well as programming skills. Publications in top-tier AI and NLP venues (e.g. NeurIPS, ICML, ICLR, JMLR, ACL, EMNLP, TACL) are considered a significant merit
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for independent creative thinking Skills in computer programming and experience with Linux and possibly machine learning The appointee should either already have the right to pursue a doctoral degree at the
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using the University of Helsinki Recruitment System by clicking the button “Apply now”. The application should include: A cover letter explaining the applicant’s motivation in joining the research program
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programming skills in Python and/or R, with experience using notebooks (Jupyter, RStudio) and Git Familiarity with workflow managers such as Nextflow or Snakemake is a plus Ability to communicate complex
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with the land surface model to conduct regional simulations; Flux and concentration footprint modelling; Post-processing of eddy covariance data, gap filling and data analysis; Plan, coordinate and
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at the Swedish School of Social Science are Swedish and English. When assessing applicants’ qualifications, attention will be paid to the quality and feasibility of the applicant’s research plan and its