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Employer https://main.hercjobs.org/jobs/22174438/assistant-associate-full-project-scientist-machine-learning-data-analytics-advanced-bioimaging-center-department-of-molecular-and-cell-biology Return
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/index.html) and the Geospatial Snow, Water, and Ice Resources Lab (GeoSWIRL; https://arcg.is/0ObXba) at Montana State University are recruiting a Postdoctoral Fellow. The postdoc will focus on developing and
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at the interface of biostatistics, machine learning, and biomedical data science. This mentored postdoctoral position is designed to support the development of an independent research trajectory in methodological
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measurement technique development, atmospheric modelling, and advanced methods for integrating observational and model data through data assimilation and machine learning. About the research project The overall
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methods (e.g. machine learning methods and many other methods) to harmonize historical and current pathogen nomenclature, standardize laboratory test methods and result vocabularies, and translate clinical
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fields. Individuals in this position will perform technical work supporting the collaboration's scientific research. Research Title: Postdoctoral Researcher Applying Machine Learning Methodologies
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for the efficient training and fine-tuning of machine learning models. The postdoc will closely collaborate with researchers at the Dutch Language Institute (and Radboud University Nijmegen). Selection Criteria PhD
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motivated to move the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning
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brings complementary and/or additionally new expertise including AI/Machine Learning-based methodologies that can be developed for virtual ligand screening, reverse virtual screening (target fishing) and
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: Education: Ph.D. in machine learning, computer science, engineering, physical science or related technical discipline. Experience: Expertise in developing and training AI models Proficiency in Python