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, analyze data, and interpret results. -Publish research findings in peer-reviewed journals and present at professional meetings. -Assist in writing grant proposals to secure external funding. -Oversee and
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the EU Research Framework Programme? Not funded by a EU programme Reference Number La Caixa Junior Leader Fellowship ID: 100010434 Is the Job related to staff position within a Research Infrastructure? No
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/Administrative Internal Number: 495881 Department: Decision & Information Science Salary: 49,400 - 56,200 Description: Possesses, understands, and applies a comprehensive knowledge in area of specialization
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metabolomics, and advanced statistical and computational analyses of large biological datasets. You will also support the maintenance of laboratory equipment and sample banks, ensuring full compliance with
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safety and lab supplies. Position Status Full Time Posting Number 26FA0313 Posting Open Date 04/03/2026 Posting Close Date 06/05/2026 Qualifications Minimum Education and Experience Ph.D. in Analytical
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academic institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical
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Apply now Job no:536170 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Research/Scientific/Grants, Computer and Information Science, Data Science Department: CAS Department of Data
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 3 months ago
, (iii) understanding its role between the device-dependent and the device-independent scenario, and (iv) developing its applications in communication, computation, and security tasks The research project
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Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you
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microscopy, and conductive force microscopy); surface characterization (XPS), advanced computing concepts (neuromorhpic, stochastic, probabilistic); data security; energy-efficient information technologies