7 postdoc-parallel-computing positions at Human Technopole

  • Human Technopole | Tzab it adh, San Luis Potosi | Mexico | 2 months ago

    supported by the Human Technopole Ciliopathies Flagship Research Programme , a multidisciplinary initiative that brings together several Research Groups to dissect the molecular mechanisms underlying ciliary

  • Human Technopole | Tzab it adh, San Luis Potosi | Mexico | about 7 hours ago

    AI for Biomedicine to develop next-generation computational approaches to understand how cellular and tissue biology shapes human disease. Your mission As Postdoc in AI for Biomedicine, you will

  • Human Technopole | Tzab it adh, San Luis Potosi | Mexico | about 7 hours ago

    integrates large-scale human genetics with molecular and clinical data to generate testable hypotheses that accelerate biological discovery and therapeutic innovation. We are recruiting an ambitious Postdoc in

  • Human Technopole | Tzab it adh, San Luis Potosi | Mexico | 3 months ago

    to characterize CAR T-cell activation, persistence, cytotoxicity, and tumour cell responses. Generate high-quality functional and single-cell datasets and collaborate with computational colleagues to uncover

  • Human Technopole | Tzab it adh, San Luis Potosi | Mexico | about 8 hours ago

    of biological discovery. Your work will combine methodological innovation, biological discovery, and scientific software development at the intersection of artificial intelligence, computational biology, and

  • Human Technopole | Tzab it adh, San Luis Potosi | Mexico | 3 months ago

    fundamental questions in biology using state-of-the-art technologies and large-scale datasets. Within this mission, the Biostatistics Unit of the Centre for Genomics – Population and Medical Genomics Programme

  • Human Technopole | Tzab it adh, San Luis Potosi | Mexico | about 1 month ago

    transform bold scientific ideas into advances that improve human health. Within this mission, the Health Data Science Centre  develops advanced computational and machine learning approaches to analyse complex

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