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protein expression and purification, enzyme kinetics, drug design, X-ray crystallography, single-particle cryoEM, and computational biology. Salary will be commensurate with the candidate's experience and
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research, innovation, and education to enable a biobased society and improve human health. We explore how biological systems, and innovative technologies can be used to convert biomass into valuable products
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out research in line with the project plan. The successful candidate will conduct hands-on empirical research that embraces both experiments and modelling. Working closely with academic colleagues and
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passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a leading Research and Technology Organisation (RTO) that drives innovation for the economy
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interactions, designing and delivering semi-structured interviews and collaborative co-design. You will have case study experience and ideas to weave standard ecological field techniques with participatory
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Interaction with a design and data-oriented perspective. Experience in research in the domain of affective interaction design Background in large-scale data engineering Personal or professional experience
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, synthesize, and characterize advanced materials for biomass conversion. Conduct experiments to evaluate the performance of these materials in various conversion processes. Investigate the mechanisms of biomass
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systems (Mojo, Julia, Rust, Python), and HPC system co‑design. This position is embedded within the larger DOE ASCR ecosystem, with direct relevance to ongoing efforts, and related AI‑for‑HPC thrusts
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 6 hours ago
) beamline. The position offers the opportunity to play a leading role in designing and performing time-resolved experiments, analyzing spectroscopic data, and interpreting results in close collaboration with
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biology, or a related field Experience designing, executing, analyzing, and interpreting quantitative experiments, including high-throughput screens. Experience with coding software such as Python, R, and