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sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future
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developmental project on individual differences in language processing that was funded through the NWO Gravitation grant ‘Language in Interaction’. Behavioural, functional and structural MRI data was collected
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will work with existing FH patient cohort data sets from France, Portugal, Czech Republic, and Turkey, which will be expanded with multi-level multi-omics data, including genetic, transcriptomic
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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new
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, including DOE-funded projects and private/public partnerships. Additionally, synthetic data generated using DOE multi-physics simulators will complement observational data and provide insights
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Motion Laboratory, a multi-disciplinary research group investigating different aspects of animal structure and movement. The post holder will join Professor Richard Bomphrey’s research group to work on a
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Number: 280639 Vacancy ID: PDS004212 Position Summary/Description: The Haar lab in the department of Chemical Biology & Medicinal Chemistry at UNC-Chapel Hill is a multi-disciplinary research group looking
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The INM – Leibniz Institute for New Materials in Saarbrücken, Germany, is an internationally leading center for materials research, a scientific partner to national and international research
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AgriLife and make a difference in the world! This position provides leadership to the analysis, synthesis, and publication of (a) continuous monitoring data and (b) residual data sets from research campaigns
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: Expert on steels and steel welding or additive manufacturing Develop advanced machine learning framework to combine different modality and fields of data Conduct CALPHAD-based simulations in a high