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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
. These one- to three-year fellowships are competitive and are designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology
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proteins. Under the supervision of the project leader, your responsibilities will include: Establishing and optimizing cell culture protocols under sterile conditions (adherent or suspension eukaryotic cell
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, supply chain resilience, and lifecycle sustainability. The successful candidate will lead and conduct independent research in optimization, systems modeling, agent-based modeling (ABM), and network
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Job Description Apply now Job Title: Postdoctoral Associate- Protein engineering and High-Throughput Screening Division: Neuroscience Work Arrangement: Onsite only Location: Houston, TX Salary Range
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). The PDRA EEO Carbon Allocation Modelling will work on the LEMONTREE (Land Ecosystem Models based On New Theory, observations and Experiments) project and will be part of a team of scientists developing
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Job Description Apply now Job Title: Postdoctoral Associate- Nutritional Biochemistry Division: Pediatrics Work Arrangement: Onsite only Location: Houston, TX Salary Range: Per NIH Guidelines FLSA
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology. Description: The research for this position will focus
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faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why
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Association. WIAS invites applications as Research Assistant Position (f/m/d) (Ref. 25/14) (PostDoc) in the Research Group Nonlinear Optimization and Inverse Problems (Head: Prof. Dr. D. Hömberg) starting as
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into optimization frameworks. Study the theoretical foundations of randomized algorithms in the context of sparse tensor operations and apply them to real-world datasets. Parallel Computing: Explore opportunities