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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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: 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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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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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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. 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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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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to mentoring junior lab members and participate in grant writing and dissemination activities Engage in collaborative national and international projects Requirements PhD in genetics
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Amplicon sequencing analysis Grant and manuscript writing Guide students and work with technicians Profile Candidates must have a PhD in (Plant) Biotechnology, Molecular Biology, Biochemistry or equivalent
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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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computational and machine learning approaches, you will decipher genomic regulatory programs and infer the evolutionary patterns of gene regulatory networks in cortical neurons, study their developmental origin