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are currently looking for a motivated and entrepreneurial candidate to apply for a VLAIO Innovation Mandate. Have a look on the following website for further requirements: https://www.vlaio.be/en/subsidies
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at unprecedented resolution. The core innovation of your work will be integrating this data to train deep learning models that predict chromatin accessibility and gene expression patterns. These models will
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of the team on projects related to plant phenotyping as well as with industrial partners. Key Responsibilities Design and lead your research project, with sufficient guidance and mentoring Contribute
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and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in
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and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in
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biotechnology. The project is funded by the Research Foundation- Flanders (FWO). Responsibilities Vector design and library construction Design large-scale CRISPR screens Plant tissue culture and transformation
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datasets Use cutting-edge bioinformatics software and methods, or develop novel tools when appropriate Design and lead your research project, with sufficient guidance and mentoring. Contribute
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eager to bring fluorescence microscopy and machine learning together to advance microplastic detection, we strongly encourage you to apply. Job description Design and implement chemometric and machine
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and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in
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and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in