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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
-or vice versa-who wants to grow into a scientific leader at the interface of data and biology. What You Will Do • Combine experimental and computational approaches to analyze bacterial responses
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ICT Services & Applications. Your role This position sits at the interface of machine learning, uncertainty quantification and computational biomechanics. You will work within the Legato group and in
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at the interface of hardware and software for world-leading observatories, and collaborate with international teams of scientists and engineers - then welcome to the team! Our ground-based astronomical
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photonic integrated circuits, optical metasurfaces, optomechanics, micro and nano electromechanical systems, and associated precision measurement, quantum information and future computing applications
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of their internal interfaces, their integration for the realization of the microdevices, as well as their structural/chemical characterizations and electrochemical performances determination (ionic conductivity
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colleague? Apply now! Education • PhD in Computer Science, Telecommunications, or a closely related field. • Solid knowledge of mobile networks and 5G systems, with practical understanding of RAN optimization
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to study mechanisms of mRNA translation and post-transcriptional regulation in human cells. Our group uses high-throughput experimental and computational approaches to understand how mRNA sequence
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What happens at the interface between ice and bedrock? Department of Glaciology and Climate seeks a talented and motivated postdoctoral researcher to start in August 2026. The position is for a four
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Desirable Knowledge, Skills and Experience: Completed a PhD in a relevant field (e.g., synthetic biology, computational biology and AI, microbial, plant and human cell biology, genomics, robotics and
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the interface of computational biology, molecular science and translational medicine, generating large multi-omic datasets that require robust, reproducible analysis to identify rare signals with high accuracy