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high-value polymers from complex waste streams such as multilayer packaging and mixed plastic waste, leading to large volumes being incinerated or landfilled. Solvent based recycling offers a promising
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will have a strong background in research processes, including report writing, and producing high-quality publications, with experience in cardiovascular modelling, fluid–structure interaction or high
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 12 days ago
motivated Postdoctoral Researcher (f/m/x) to join our interdisciplinary and international research team as part of a project funded through the DZD NEXT Young Talent Program of the German Center for Diabetes
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. Read more about the Department of Clinical Medicine here Read more about the Department of Clinical Medicine here . We offer We offer an exciting postdoc position in a dynamic, informal, high-performing
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, executing software, developing and running workflows. Knowledge of R. Familiar with high-performance computing infrastructure. Experienced in Nextflow/Cromwell or other pipeline tools. Able to critically
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at the Institute for Systematic Theology and Ethics (Faculty of Catholic Theology) is seeking to fill a full-time (50%) postdoctoral position for a term of 4 years. We are looking for a researcher who conducts high
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analyses, model evaluation, and interpretation of findings Investigate and optimize user experience and objective performance of AI systems in healthcare and medical applications together
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or microfluidic devices. Familiarity with workflow managers (Nextflow, Snakemake), containers (Docker, Singularity) and high-performance computing environments. Interest in AI-assisted experimental design, self
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ecophysiological equipment, growth chamber and greenhouse facilities, as well as computational facilities both within the lab and through the University’s High Performance Computing Center. The Smith Ecophysiology
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the computational task: first-principles active-site descriptor models, high-throughput screening with machine-learned interatomic potentials, and a dedicated catalysis database. This position is ideal for a