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                Field
 
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and phenotype. Targeted Quantification of Bioactives: Developing and validating highly sensitive targeted quantitative assays (e.g., using Multiple Reaction Monitoring, MRM, or Parallel Reaction
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the complexation process. In parallel, these systems will be evaluated as organocatalysts, with the ultimate goal of achieving highly enantioselective transformations. Candidates should hold a PhD in chemistry and
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with other parallel projects and industrial partners, which means that strong collaborative skills are necessary. The successful candidate is expected to be able to disseminate and communicate scientific
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effectively with research institutes, industry, colleagues and other stakeholders. The work requires initiative, independence and responsibility. The project interacts closely with other parallel projects and
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: Investigation of current trends in parallel architectures, focusing on programmability as well as the characterization and modeling of their general-purpose capabilities; Investigation of AI hardware trends, with
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on estimated movements using eDCCs. The research will focus on data simulated using the Monte Carlo method and real data from clinical SPECT scanners with a parallel collimator, such as those available at LUMEN
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parallel programming. ● Experience with writing scientific articles. ● Experience with writing scientific machine learning. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted
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. This means that the majority of the work will concern parallel catalysis experiments in pressurized lab equipment and the synthesis of polyesters at lab scale. The project is part of a larger European
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leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration
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distributed systems techniques. Proficiency in programming languages such as Python, C++, or similar, as well as experience with HPC environments and parallel computing. Demonstrated hands-on experience and