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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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suite of technologies for studying protein aggregation, including advanced biophysical, ultrastructural, and cell‑biological platforms. Learn more about us on our website and don’t miss the laboratory
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: 10.1101/2025.09.08.674950), and AI/machine learning. We work closely with clinicians to translate our findings into clinical practice, focusing on genomically complex sarcomas and haematological
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for therapeutic intervention. Initially focused on tools to study human protein complexes, the lab has expanded to novel screening platforms in human cells for applications such as Deep Mutational Scanning and
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modelling and the use of CRISPR tools and an interest in neurodegenerative diseases. Essential: You obtained a PhD in life sciences, engineering, or equivalent A solid publication record with research
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. The candidate should have a strong background in iPSC modelling and the use of CRISPR tools and an interest in neurodegenerative diseases. Essential: You obtained a PhD in life sciences, engineering, or
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work includes https://doi.org/10.1101/2025.0... and https://doi.org/10.64898/2025.... Profile You have: A PhD in structural biology, cell biology, biophysics, bioengineering, or a related
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to integrate immunology, stem cell technology, and Parkinson’s biology. Supervise junior colleagues, contribute to grant writing, and disseminate findings through high-impact publications. Requirements PhD in
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Profile Essential PhD in Molecular Biology, Biotechnology, Plant Biology Fluent in English, for both written and oral communication Enthusiastic team player Openness to collaborate with industry Passion
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postdoctoral researcher interested in studying human-associated microbial communities in health and disease. The ideal candidate has the following qualifications: A PhD degree in bioinformatics, computational