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, you will collaborate with both clinical and preclinical researchers as well as experts from other research fields. You will have a central role in the project and work independently with: Statistical
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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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, experience working with the PyTorch framework, documented ability to develop algorithms and implement them in efficient code, and experience in statistical modeling, optimization or numerical methods, as
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and also be able to work independently. Specific tasks include: Statistical analysis of complex datasets Development and application of predictive models Contribution to study design, and choice
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machine learning at a scale. The Privacy-aware transparency decisions research group (led by Prof. Vicenç Torra) conducts research in data privacy for data to be used for machine and statistical learning
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quantitative research design and statistical analysis, preferably in neuroscience, medical imaging, biomedical engineering, or related/close fields. In ranking qualified applicants, special consideration will be
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analysis of metagenomic data in studies, as well as interpretation and presentation of the results. To achieve this, you will need, among other things, expertise in advanced bioinformatic and statistical
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research group (led by Prof. Vicenç Torra) conducts research in data privacy for data to be used for machine and statistical learning. It is well known that data can be highly sensitive, and that naive