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homeostasis. Responsibilities include recombinant protein expression and purification, development and execution of enzyme and biophysical assays, and quantitative data analysis to support structure–function
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Posting Details Position Information Posting Number PG191601PD Position Number 00111795 Position Type Post Doc FLSA Departmental Information Department ID 196001 - Department of Population Health
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experimental independence, including the design and execution of animal studies, development and optimization of molecular and cellular assays, and data analysis and interpretation. Candidates should be
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
on “Integrating AI into Aquatic Ecosystem Models to Decode Ecological Complexity” funded by Villum Fonden. Within that project, the focus is on exploring novel ways to infer information from environmental data
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measure the impact of wood-aging on a range of foodstuffs. This portion of the project involves undertaking final validation experiments and refining the data analysis pipeline, before creating a final
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across connected forest–lake ecosystems. By integrating multi-taxa field data, trait-based ecology, experiments, and advanced statistical analyses, TRACE aims to uncover how ecological processes propagate
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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals
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molecular biology analyses. May assist and supervise graduate and undergraduate students. 25% Cloning molecular biology 25% Plant bioassay 20% Record and analyze data/results 10% report research through
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Robot Learning (ID: TUEILSY-POSTDOC20251219-RL) Robots that learn from data promise greater autonomy and performance, but their deployment in the real world hinges on the ability to guarantee safety
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technologies, and in advancing data-driven risk monitoring approaches for supply chain resilience. The candidate will assist with data collection, analysis, and scenario modeling for a DOE-sponsored assessment