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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 2 months ago
the form of graphs to analyze and predict food-effector systems. Key Responsibilities Develop Probabilistic Machine Learning Models to integrate graphs and food-related omics data Multi-omics integration
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world-class research institution supported by the Howard Hughes Medical Institute. For more information about Open Chemistry and the Lavis Lab, please visit https://www.janelia.org/lab/lavis-lab About the
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in which all members have diverse roles. A hybrid or remote work agreement may be considered for this position. Learn more about our team here: https://med.stanford.edu/pans.html . Duties include
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Force Microscopy. Electroactive biomaterial experience, including electrochemical characterisation and synthesis. Expertise with advanced graphing and/or data analysis software (Prism, Origin Pro, Matlab
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Lavis Lab, please visit https://www.janelia.org/lab/lavis-lab About the role: In this role, you will support the vision of Open Chemistry by designing and synthesizing fluorescent dyes and other small
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TASKS The Marchal lab (IDLab/IMEC Ghent University, https://idlab.ugent.be/people/802000961346 ) has an open PhD position within the Marie Sklodowska-Curie Doctoral Networks (MSCA-DN) project iSTRIDE
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Department Family and Community Medicine Department Website Link https://medicine.arizona.edu/deptmedicine Location Tucson Campus Address 655 N Alvernon Way, Tucson, AZ 85711 USA Position Highlights The
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40 Salary Range $15.30-24.50/hour Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about equivalencies: https://hr.uky.edu/employment/working
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analysis, developing methodologies for association analysis and applying graph-based methods to study microbial interactions at cellular and molecular level. You will closely collaborate with microbial
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-relational technologies such as SQL/PLSQL, MongoDB and graph databases (e.g., Neo4J). Proven experience in design and development of networked applications and distributed systems. Knowledge of computer