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-cell transcriptomics and modern statistical/AI methodology to address this gap using in-house developed cell atlases. We will develop and benchmark approaches that infer copy-number changes and CIN
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as evidence of ongoing CIN. This PhD will work at the leading edge of single-cell transcriptomics and modern statistical/AI methodology to address this gap using in-house developed cell atlases. We
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recognise that a PhD is a journey of development. We strongly encourage applications from candidates who may not meet every single criterion but possess a strong foundational background and a clear enthusiasm
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dissertation; the dissertation agreement is to be finalised within the first 12–18 months. Your profile: We recognise that a PhD is a journey of development. We strongly encourage applications from candidates
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/ To apply, please provide CV Copy of degree certificate Cover letter (a letter motivating the application) Two contacts for recommendation Where to apply Website https://docs.google.com/forms/d/e/1FAIpQLSeSW
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suitable host organisms for recombinant production identify and solve metabolic bottlenecks develop cost-effective multi enzyme cascades with cofactor regeneration (if applicable) for in vivo and in vitro
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with other partners in the consortium develop a life-cycle-analysis (LCA) framework for selected pigment manufacturing and dye application processes, effectively incorporating process engineering data