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2030) under the Regional Operational Program for the Center (CENTRO 2030) and by the European Union through the European Regional Development Fund (ERDF). The project will be carried out at the Instituto
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Engineering, Neuroscience, or related fields. Tasks to be performed: Collection of experimental data in humans, development of neural decoding algorithms from bioelectrical signals, and development of a
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project focuses on the development of sustainable synthetic
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tasks include: Development and optimization of interfaces and APIs for the integration of heterogeneous energy system data Implementation and maintenance of automated data processing and transformation
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at https://apply.interfolio.com/181843 . Questions regarding the search may be directed to Hannah Lau, Search Committee Chair, at hxlau@hamilton.edu. Our review of applications will begin on March 15, 2026
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)materials: Self-Assembly of Peptides and Polymers (IRIS) team at the ICS. He/she will be depending from the ED222 doctoral school. For more information, please visit the website: https://www.ics
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-careers-upstate-new-york/ , as well as additional information at https://www.hamilton.edu/dof/faculty-development/resources-for-prospective-or-new-faculty/opportunities-for-spouses-or-partners
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integrate relevant metadata into the bridgehead. Based on this, an HTTP REST interface will be developed that allows authorized clients to query information in a structured and standards-compliant way
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 6 days ago
-Law nr. 123/2019, of August 28; FCT Regulation for Research Studentships and Fellowships, available on https://dre.pt/application/file/a/127230968 . Workplace: The work will be developed at IN
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out independent as well as collaborative research in the area of Ultra-High Field Magnetic Resonance Imaging (MRI). The position involves the development of 7 Tesla MRI methods and applications