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of computational tools capable of proposing synthesis routes (or “recipes”) that primarily use enzyme catalysis to make complex small molecule targets (e.g., pharmaceutical agents or monomers for bioplastics
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of Appointment: This is a full-time, one-year position with the possibility of renewal based on performance and funding availability. The target starting date is November 2, 2026, but the actual starting date can
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
to have experience in several of the following areas: data processing, statistical analyses, R software, regression models, process-based models such as DSSAT or APSIM, Bayesian statistical analysis
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metabolomics datasets. Research activities will include both targeted and non-targeted metabolite profiling of a wide range of sample types, including animal models, human cell lines and cohorts, plants
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: The primary duties of this position include: • Perform targeted and nontargeted analyses of semi-volatile organic compounds in placenta tissue using gas chromatography high resolution mass spectrometry
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comprehensive reactor model. - Definition of the dynamic conditions relevant to the target application - Evaluation of the catalytic properties of reference catalysts - Synthesis and characterization of materials
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structures, targeting improved optical confinement, passivation, and loss control in nanoscale photonic devices. In this project, you will be embedded in the PhotonDelta NGF program. Agentic AI for ALD
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-domain proteins. Research program The project will establish a targeted CRISPR-based functional screening strategy for LCCL-domain proteins in Cryptosporidium. The postdoctoral researcher will
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Albert Einstein College of Medicine (Bronx, NY) | New York City, New York | United States | 14 days ago
, single-cell multiomics (CITE-seq), advanced flow cytometry, proteomics, and mechanistic studies, we aim to identify therapeutic targets within inflammatory pathways. We are also testing novel
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. Experience with uncertainty quantification, Bayesian inference, inverse modelling, parameter estimation, or model calibration. Experience with high-performance computing, surrogate modelling, reduced-order