12 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" Postgraduate positions at Zintellect
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and Amputation Center of Excellence (EACE) is offering a postgraduate fellowship at the Uniformed Services University of the Health Sciences (USUHS) and Walter Reed National Military Medical Center
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of their research relate to transmission dynamics of VSV and integrated pest management strategies. Learning Objectives: The fellow will have the opportunity to gain experience in entomological and aquatic field
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Applied statistics Network routing Agent-based simulation Behavioral economics Game theory Decision theory Machine learning Artificial intelligence Where will I be located? Both local and remote
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Learning about protein design and engineering Exploring cell-based and cell-free screening Applying high-throughput screening Utilizing bioinformatics, machine learning, and other computational approaches
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analysis of laboratory assay readouts, or processing and analyzing transcriptomics data (bulk or single-cell RNA-seq). Learning Objectives: Under the guidance of a mentor, the participant will have the
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the use of workflow tools, development environments, and resources to contribute to and implement shared bioinformatic workflows. Experiences may extend into training on Machine Learning and AI models as
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cattle entering the slaughter facilities. Learning Objectives: The fellow will gain experience in planning experiments and data collection, enumeration/detection of bacterial groups, screening of biofilm
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. This data was collected primarily in upland habitats, but a subset of the data focuses on changes in meadows over time. Learning Objectives: The selected fellow(s) in this project will have the opportunity
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resources to support development of rich datasets for asking complex questions and collaborate broadly across many different research communities. Learning Objectives: The participant will learn techniques
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also includes screening individual phytochemicals and extracts from additional plant materials to determine their anticancer and antioxidant activities. Learning Objectives: The participant will receive