18 machine-learning "https:" "https:" "https:" "https:" "The Open University" scholarships at VIB
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, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
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motivated to learn. Comfortable working at the clinic–lab interface; excellent writing and communication in English (Dutch is an asset for patient-facing coordination). Motivated to work within an
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includes https://doi.org/10.1101/2025.0... and https://doi.org/10.64898/2025.... Profile You have: An MSc (or equivalent) in structural biology, cell biology, biophysics, bioengineering
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: https://europepmc.org/article/MED/35021063 , https://europepmc.org/article/MED/31819264 , https://europepmc.org/article/MED/31561945 , https://europepmc.org/article/MED/39747019 Profile Master’s in bio
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analysis Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within an experimental team, with direct availability of experimental
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analysis Background in biomedicine and digital pathology What we offer Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within
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with large-scale data analysis, such as genomics or transcriptomics data Experience with a workflow management system such as Snakemake or Nextflow A willingness to learn and apply machine learning
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of novel mechanistic insights is gained through the application of novel probabilistic deep-learning models that automatically extract biological and statistical knowledge from your in vivo perturbational
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www.psb.ugent.be for more information. Jenny Russinova lab at PSB focuses on research on brassinosteroid hormones (https://www.russinovalab.be ). Job description Brassinosteroids are steroidal phytohormones
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We are looking for a highly motivated PhD student to join the Nucleic Acid Immunity Lab at the VIB-UGent Center for Inflammation Research. Lab website: https://www.irc.ugent.be/groups/maelfait-lab