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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
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dissolution behaviour Analyse time-resolved experimental data using statistical and machine-learning approaches, and validate predictive models using independent experiments Design and conduct controlled
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biodiversity. Your profile Qualifications Doctoral degree in biology or equivalent. Good knowledge in forest ecology, fungal ecology and statistics as well as field and lab work experience and taxonomic
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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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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis (machine learning, statistics, numerical analysis, time-series analysis, etc.). Quantitative methods in
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deficiency but potentially also PSC and MASLD), exploring risk factors and prognosis of diseases where histopathology is essential. The position requires a high level of statistical/mathematical competence
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candidates whose expertise falls within one or more of the following areas: computational and mathematical modeling, statistical modeling, machine learning, network science, bioinformatics, applied mathematics
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academic worlds in the heart of Gothenburg. At the Division of Applied Mathematics and Statistics , we conduct research in computational mathematics, optimisation, biomathematics, statistics, and data