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, and data scientists to develop and optimize experimental pipelines. Gain experience in both wet-lab and computational techniques to tackle some of the most important questions in microbiome science
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in the proposed research topic the names and contact details of 2 referees For more information: please contact valeriya.malysheva@uantwerpen.be or Sebastiaan.DeSchepper@uantwerpen.be The University
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about the online application form, please check the frequently asked questions or send an email to jobs@uantwerpen.be . If you have any questions about the job itself or for additional information
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different gender. Co-funding Co-funding is mandatory with this scholarship. Consult the call documents for more information on what co-funding is allowed. In general, the following conditions must be
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these resources. By using data integration, AI, and international platforms like GBIF and LifeWatch, the project supports taxonomic advancement. This PhD research will develop bioinformatics tools to find type
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combined with an interdisciplinary toolbox drawing from ecology, forestry, and climatology. These data will then feed into cutting-edge joint species distribution models to project European forest plant
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closed-loop control. The technology, developed through detailed computer simulations, will be validated with preclinical experiments. The candidate will be part of a multidisciplinary team working towards
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data analysis and biomarker discovery • Collaborate with a multidisciplinary team of researchers and clinicians • Engage with the International PSC Study Group, a global research consortium • Work in
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biodiversity data in tree diversity observatories and experiments across Europe. The goal is to provide empirical understanding of the co-benefits of tree species and mixtures on climate change adaptation and
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responsible for following tasks: • develop a list of soil health assessment indicators, with emphasis on biological indicators • design a detailed sampling & data collection protocol to be used across all