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. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and
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next‑generation sequencing (NGS), quantitative repertoire analysis, and AI‑based structural modeling. The successful candidate will play a central role in extracting biological and structural insight
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next‑generation sequencing (NGS), quantitative repertoire analysis, and AI‑based structural modeling. The successful candidate will play a central role in extracting biological and structural insight
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unique opportunity to work at the interface of evolutionary biology, genomics, and algal model systems, while contributing to a broader understanding of biodiversity, adaptation, and genome evolution. Your
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and wishes to expand their skill set into protein design and modelling. They should be comfortable working at the interface of disciplines, in a international environment, and be excited by the prospect
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and wishes to expand their skill set into protein design and modelling. They should be comfortable working at the interface of disciplines, in a international environment, and be excited by the prospect
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computational approaches – including structural modelling, cheminformatics, and AI-driven methods – as part of the broader toolkit to enable program decisions, integrating computational predictions with rigorous
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), apply them in disease-relevant model systems, and use them to investigate the cellular and molecular mechanisms underlying conditions such as Alzheimer’s disease and ALS. We are recruiting a lab
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), apply them in disease-relevant model systems, and use them to investigate the cellular and molecular mechanisms underlying conditions such as Alzheimer’s disease and ALS. We are recruiting a lab
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, applying state-of-the-art methods to cutting-edge biomedical questions.Design, implement, and evaluate ML and foundation-model approaches, including LLM-based solutions, for scientific text mining