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learningTabular machine learningLarge language models on structured data As the successful candidate, you will primarily contribute to a partnership project with STATEC, the National Statistics Institute in
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, computational biology, statistics or a closely related field. You have strong programming skills, preferably in Python, and experience with machine learning or deep learning. Experience in computer vision
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this additional qualification.-You have strong skills in statistical, econometric and quantitative data analysis and have experience with statistical software packages; furthermore, you are keen to develop
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quantitative and/or qualitative research methods and be willing to further develop expertise in advanced methodologies. Experience with survey research, content analysis, statistical software (e.g., R, SPSS
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sequencing data generation and interpretation Bioinformatics and statistical analysis, to characterize genome evolution, mutation processes, and adaptation patterns The PhD candidate will progressively
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of the Division of Agricultural, Food and Resource Economics. You have experience with or are eager to work with large databases and database management software. You have starter skills in statistical, econometric
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: •Excellent verbal and written communication skills in English•Plus points: oknowledge of nutrition, oexperience with statistics, oknowledge/ability to apply phlebotomy, oprior experience with clinical
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identification, anti-phishing training, automated phishing generation, or automated software engineering Experience with human subjects research, statistics, data collection, annotation, or resource creation is a
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psychometric data, with possible use of prediction modelling, mediation/moderation analyses, person-centred approaches, network analyses, or other advanced statistical methods depending on the final PhD focus
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quantitative research methods (such as survey research, experiments and content analysis). You are proficient in at least one statistical or programming language relevant to social science research (e.g. SPSS, R