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-based screens, single-cell or spatial transcriptomics). Experience with reproducible research environments (e.g., Docker, Snakemake, Nextflow). Strong mathematical / statistics background At HT, your
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scientific field (e.g. computer science, data science, mathematics, statistics, engineering, physics, or related). Provable deep learning track record and practical expertise (e.g. with VAEs, GANs, diffusion
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mathematics, physics, geophysics, optical engineering, electronic science and technology, chemistry, materials science, biology, bioengineering, pharmacy, basic medicine, environmental science and engineering
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and the upgrading of traditional vaccines, breakthrough the key technical bottlenecks in basic research, process development and production of vaccines, continuously optimize the industrial structure
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regulatory elements (e.g. microRNA binding sites) that control gene dosage of haploinsufficient NDD genes, with direct translational potential. Preferred skillset: Experience with establishing and optimizing
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, Nextflow). Strong mathematical / statistics background At HT, your discoveries contribute to a global effort to improve human health. Why Human Technopole HT offers an international and dynamic workplace