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We are seeking a highly motivated candidate who has recently completed, or is close to completing, a PhD and has training in statistics, data processing, bioinformatics, or a related discipline, to
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or scale-up of algal cultures; biomass harvesting and characterization; trace-element analysis; geochemical or mineralogical methods; and statistical analysis of multivariate experimental data. Personal
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, physicochemical and functional properties, process, analyse and interpret experimental data using appropriate statistical methods, contribute to scientific publications, project reports, presentations and other
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manufacturing is desirable. Prior experience in laboratory and project management is also advantageous. Programming skills or acquaintance with applying Python packages, statistical data analysis packages
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, heart failure, long-term conditions, self-care or person-centred care. Survey data, registry or usage data, and statistical analysis. Multicentre research or collaboration with regions, clinical services
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. Preferred qualifications A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline Experience of AI- or statistics-supported analysis
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of these interactions into soil and ecosystem models. Depending on the selected candidate, the research project can focus on statistical analysis of literature data, process-based modelling, or a combination of the two
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privacy for data to be used for machine and statistical learning. It is well known that data can be highly sensitive, and that naive anonymization is not sufficient to avoid disclosure. Models and
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of molecular, spatial, histopathological, and clinical data. Computational and statistical analyses will be performed primarily using R. The research is carried out in a multidisciplinary environment and in
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Engineering and production optimization Documented mathematical, analytical and problem-solving skills. Good knowledge of statistics, AI/ML, and mathematical modeling and programming. Good knowledge in academic