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cell biology and next generation sequencing. Experience in droplet-microfluidics, including use of commercial devices such as the 10X Genomics platform is beneficial, but not absolutely crucial. For two
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sequencing or antibody discovery. Experience in droplet-microfluidics, including use of commercial devices such as the 10X Genomics platform is beneficial, but not absolutely crucial. LBMM has already
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of analytical processes and computational infrastructures. • Coordinate interfaces between sequencing platforms, analytical environments, data repositories and data-sharing infrastructures. • Support the
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, and government, and translate findings into the MCAS value proposition. Coordinate with EPFL services (technology transfer, legal, finance, infrastructure) and with NCCR partner institutions to align
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in complex communities. The project combines experimental and computational approaches, including high-throughput sequencing, bioinformatics, microbial isolation and cultivation, physiological
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of SATURNA, namely Language Models for RNA sequences, Graph representation learning and generative models, Knowledge-Augmented RNA modeling, Computational RNA biology and Experimental stem cell biology and RNA
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new services aligned with research and institutional needs Collaborate with IT support teams and end users, ensuring high-quality communication and service delivery Participate in automation
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, including physics, biophysics, cell biology, biochemistry, and engineering. We welcome applications from Postdoctoral candidates who are interested in developing their independent research ideas aligned with
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, ideally in a technical or CS-related field Strong organizational skills and comfort managing multiple parallel timelines and stakeholders Working familiarity with tools such as Moodle, GitHub/GitHub
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-value experience for participating companies and alignment with institutional objectives. Acquire a thorough understanding of companies and professors' needs and ensure appropriate collaboration models