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cutting edge research work, develop novel computational tools and integrate new strategies for the safe and sustainable use of chemicals and materials. Your tasks Large-scale data analysis, programming and
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on performance and availability of funding. We are seeking a highly motivated and qualified individual with a Ph.D. in Mechanical Engineering, Materials Science, Chemical Engineering, or a closely related
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a Research Infrastructure? No Offer Description Competition for the position of Post-doc / researcher in the Era-Net project. The position includes tasks related to the synthesis and analysis
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. This position provides an excellent opportunity for candidates who want to work at the forefront of developing the next generation of biological analysis tools, screening and neurological disease research in a
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.). Experience implementing signal processing techniques, including IIR filters, transfer functions, spectral analysis, etc. Experience working with benchtop instrumentation, including power supplies
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. Expertise in microbiome data analysis, metagenomics, or metaproteomics. Proficiency in bioinformatics tools for multi-omics data processing Strong publication record in relevant fields. Ability to work in a
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group (https://bckrlab.org). We focus on high impact applications and work on knowledge-centric AI and biomedical machine learning including multi-omics integration, single cell analysis, and sequential
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quantum chips! You will be part of the LIST Materials Research and Technology department, where you will carry out your work in the Quantum Materials Group, led by Dr. Florian Kaiser. Within our FNR PEARL
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, and you will join the research group led by Prof. Christa Cuchiero to work at the intersection of Mathematical Finance, Stochastic Analysis and Machine Learning. The research areas cover a wide range of
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measurements at the Center for Nanoscale Materials and analysis of these data. The in-situ experiments will be driven by external electric fields and relevant optical stimuli. Although exceptional candidates in