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transferability of methods intended for broader-scale application to single-channel recordings. We do not expect any single method to perform equally well across all species, environments, recording systems
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operation, feedstock pretreatment and characterization, analytical measurements by LC and GC; experimental design, statistical analysis, bioprocess simulation through kinetic modeling. Additional training in
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to generate novel products and characterize their properties and performance using instrumental and sensory analyses. To provide robust scientific insights, this position will also carry out modeling and
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characterize their properties and performance using instrumental and sensory analyses. To provide robust scientific insights, this position will also carry out modeling and validation of processes of utility
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have access to raw eBird data (> 2 billion observations) and the ability to engage with the eBird Status and Trends modeling team. We will also provide access to high-performance computing resources and
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be for a period of one year, with possibility of renewal for at least one additional year, contingent upon available work, available funds, and successful performance. Anticipated Division of Time
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consideration. This is a full-time (40 hour/week), fixed-term position with benefits. The initial appointment period will be for one year with potential renewal contingent on funding and performance
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research. The research team has access to more than 100 generative AI models through Cornell’s AI gateway and high-performance computing resources via Empire AI. This position provides opportunities
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of large and multidimensional datasets High Performance Computing (HPC) Low temperature physics High magnetic field physics Synchrotron and neutron facilities X-ray scattering Compensation and Additional
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performance and funding. Anticipated Division of Time The Postdoctoral Associate will lead research on the subject area outlined in the research statement submitted as part of their competitive application