16 machine-learning-phd Postdoctoral research jobs at UNIVERSITY OF HELSINKI in Finland
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decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic resistance and microbiomes, statistical analysis
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participate in a project which investigates and develops novel immunotherapies (cell therapies) to cancer, utilizing both mouse and human systems. Applicants should possess a PhD degree or be close to
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data has increased massively in the last decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic
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-supervising PhD and MSc students working in the project Contributing to new research ideas and (co)-applying for grants Depending on interests and expertise, some teaching on nutritional physiology, microbiome
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bioinformatics Communicating the results in scientific publications and conference presentation Co-supervising PhD and MSc students working in the project Contributing to new research ideas and (co)-applying
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collaboration with clinicians and other experts in molecular virology, immunology, genomics, and bioinformatics. Qualifications PhD (completed or near completion) in medicine, virology, molecular biology
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, scientific rigor, and innovation. We work in close collaboration with clinicians and other experts in molecular virology, immunology, genomics, and bioinformatics. Qualifications PhD (completed or near
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skills Competency in or willingness to learn process-based modelling Strong data management skills and proficiency with analytical tools e.g. Matlab, R, Python Previous experiences with eddy covariance
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doctoral degree relevant for the project, for instance a PhD in plant sciences or plant ecology, and the ability to conduct independent scholarly work. The position also provides the opportunity to co
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collection and/or experimentation. We seek candidates who have completed a PhD in ecology or a related field, have strong conceptual and statistical skills, and experience working with large and complex