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for the technology, including brainstorming and literature review. Coordinate with biopharma partners to streamline development and promote industry adoption. Participate in grant writing to secure project funding
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influence the adaptability and evolvability of diploids and polyploids. Your profile You have a PhD in Computational Biology, Evolutionary Biology, (Bio)Engineering, Mathematics or Physics. You have expertise
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engage with collaborators across Belgian universities. Profile Education: PhD in Artificial Intelligence, Bioinformatics, Computer Science, Physics, Engineering, or a related field. Programming
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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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. Collaboration with and supervision of bioinformatics Master’s and PhD students will support the integration of circuit and behavioral data with transcriptomic and proteomic datasets generated within the project
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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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. 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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for We are seeking a motivated computational biologist with a passion for cancer genomics and a drive to tackle complex biological questions. Essential: PhD (or studying towards a PhD) in computational
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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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for candidates who bring strong motivation and curiosity, and who are eager to grow technically and scientifically. The ideal candidate will have: A PhD in structural biology, biophysics, cell biology