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method, can engineer thousands of defined mutations in parallel in a single test tube in yeast. Strains are tagged by DNA barcodes, allowing to efficiently track mutations in cell populations during
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include nucleic acid extractions, Sanger sequencing, PCR assay optimization and RT-qPCR. This position offers the opportunity to work closely with a dynamic team of PhD students and postdoctoral researchers
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difference in society. You hold a PhD in Life Sciences. You have hands-on experience managing complex, multidisciplinary projects. With your excellent organizational and planning skills, you know how to turn
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Data Core services, including high-performance computing pipelines and large-scale GPU resources, to scale LLM development and deployment. Your profile PhD in machine learning, computer science
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the expertise unit into a dedicated team over time. Your profile PhD in machine learning, computer science, computational biology, statistics, or a related field. Demonstrated scientific excellence and leadership
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profile Requirements Master’s or PhD in life sciences or biomedical sciences. Experience in research involving human data. Hands-on experience with human data projects, including privacy aspects
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in analysis of single-cell and spatial data. Key Responsibilities Collaborate with PhD students, postdoctoral researchers and other technicians. Analyze and integrate single-cell and spatial data
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. Play an active part within the organization in helping create a sustainable, inclusive and equitable workplace for all About you You hold a Master’s or PhD in life sciences, biotechnology or a related
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scalable solutions across the board. PhD or equivalent experience in Bioprocess Engineering, Synthetic Biology, Fermentation Science, or a related field, ideally with experience in yeast and fungi
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to collaborate, and a proactive attitude are key. This role is ideal for someone motivated by scientific data infrastructure and public health impact. Requirements A Master’s or PhD degree in a life sciences or