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- ICN2
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regularly in its various training and research activities, as well as the weekly seminars in IDAEA-CSIC. Where to apply Website https://www.idaea.csic.es/job-offer/phd-position-understanding-and-predicting-n
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Aragon Nanoscience and Materials Institute (INMA) / CSIC-University of Zaragoza | Spain | 2 months ago
available1Company/InstituteUniversity of ZaragozaCountrySpainState/ProvinceZaragozaCityZaragozaPostal Code50018StreetCalle Mariano Esquillor, s/nGeofield Contact State/Province Aragon City Zaragoza Website https
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to apply Website https://www.rfgi.es/ConvocatoriasPropiasFIMABIS/es/Convocatorias/VerConvocatori… Requirements Research FieldMedical sciences » MedicineEducation LevelPhD or equivalent Skills/Qualifications
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applying general laboratory techniques, amongst other duties related to the research area. Where to apply Website https://www.idival.org/Empleo/ Requirements Research FieldBiological sciences
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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at the 'Group of Smart Nanoengineered Materials, Nanomechanics and Nanomagnetism -Gnm3' (https://jsort-icrea.uab.cat/) of the Universitat Autònoma de Barcelona (UAB). The position is in the framework
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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Position Description The theoretical astrophysics and cosmology group at IGFAE invites applications for a 4-year PhD position focused on galaxy formation and evolution, to be supervised by Marta
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Position Description The project will focus on the development and application of advanced data-analysis techniques for gravitational-wave science, including machine learning and deep learning