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to the full development pipeline: from algorithm design and implementation to clinical integration and evaluation. You will also work on improving prognostic models using (neuro-symbolic) AI and develop
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population projections and management of wild bird populations in times of climate change”, with the Seychelles warbler (Acrocephalus sechellensis) as a model system. The project is supervised by Prof. Hannah
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reconstruct the structural models, with an emphasis on picking and combining the right techniques, as well as quantifying the uniqueness of information obtained. Position Overview: You will develop an in-house
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. However, current estimates of methane emissions from inland waters to the atmosphere are highly uncertain because of limitations in long-term observational data and modelling methodology. In this four-year
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, applying advanced modeling techniques and analyzing large-scale datasets to contribute to healthcare policy decisions. The PhD project will be supervised by Dr. Nora Franzen and Professor Maarten J. IJzerman
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the model plant, Arabidopsis thaliana. The PhD candidate will employ molecular biology tools to follow circadian gene expression in Bacillus subtilis as it colonizes the plant root. This work will be carried
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) and experience in applying machine learning or AI techniques in research. You have good quantitative research skills (e.g., survey data, experiments, web-scraping, regression models). Willingness
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data into models and ensure knowledge transfer to other work packages (WPs) and stakeholders. Communicate research findings through scientific publications, public engagement activities, and
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selection lines in the model insect Tribolium castaneum. Compose an integrative overview of genes and developmental pathways involved in temperature-dependent egg development to determine universal targets of
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assessment tools for OSH professionals. In this project, we aim to develop a 'Biological Exposome' risk model for the workplace using a layered approach, moving from qualitative to quantitative risk assessment