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motivated researcher who enjoys working in multidisciplinary teams and translating complex data into meaningful insights. You have: A PhD in Nutrigenomics, Bioinformatics, Computational Biology, Systems
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Adolphe Merkle
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and summarize results, publish in scientific journals, and contribute to the supervision of students. Your profile PhD degree in bioinformatics, machine learning, computer science, biochemistry
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profile A PhD degree in Telecommunication Engineering, or Electrical Engineering or Computer Science/engineering with a focus on wireless communications Good understanding of the 3GPP 5G radio access and/or
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, preferably using yeast Genome engineering / synthetic biology, yeast and/or mammalian Cell biology, microscopy, and biochemical approaches Functional genomics and computational data analysis, including AI
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IWRI - Postdoctoral Researcher in Bioinspired Circular Conversion of Multi-source Biomass Feedstocks
Interfaces Project Overview The International Water Research Institute (IWRI) invites applications for a Postdoctoral Researcher to join an interdisciplinary research program dedicated to the development
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interdisciplinary research at the interface of biology, physics, and computation ● Experience in image analysis and/or machine learning is highly desirable ● Programming skills (Python or equivalent) are a plus
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extraction, and multi-omics integration workflows. This position is ideal for someone who enjoys working at the interface of technology, instrumentation, and computational modelling, contributing both to data
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contexts, the project aims to generate robust and generalizable findings. In close collaboration with local and international partners, we establish an interface between educational research, subject
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, preferably using yeast Genome engineering / synthetic biology, yeast and/or mammalian Cell biology, microscopy, and biochemical approaches Functional genomics and computational data analysis, including AI