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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project aims to develop advanced computational methodologies
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candidates whose research, teaching and graduate student/postdoctoral training programs actively engage with our plant collections and leverage the opportunities offered by our associated field stations (https
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to the questionnaire: https://bip.uniwersytetkaliski.edu.pl/artykul/regulamin-wynagradzania-r… 4. Copies of diplomas confirming educational qualifications. 5. Employment certificates from completed periods
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: The candidate will join the Consciousness research group (https://www.bcbl.eu/en/research/research-groups/consciousness ) led by Prof. David Soto ([email protected] ), who will be the main supervisor. We develop and
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George Washington University | Washington, District of Columbia | United States | about 19 hours ago
(https://www.aeaweb.org/joe/ ). Applicants should submit: (1) a letter of interest detailing the position for which you are applying, (2) a statement of your research and teaching interests and
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George Washington University | Washington, District of Columbia | United States | about 19 hours ago
: Contract Type: Tenure Track Required Licenses/Certifications and other Specific Requirements: Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, and Sex
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testing opportunities and foster technology transfer. The researcher may also contribute to teaching and outreach activities related to hydraulics, fluid machinery and sustainable water resources management
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or election to a higher position every five years. Applicants must meet the requirements prescribed by the Higher Education and Scientific Activity Act. Along with the application for the call for applications
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The ERCOLE project aims to develop a new process for assessing the passive safety
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bioengineering, data analytics, artificial intelligence, and machine learning. More information on our research strengths can be found at https://www.uta.edu/academics/schools-colleges/engineering/research