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characterization, and integration of machine learning to correlate synthesis conditions with functional performance. The goal is to establish predictive synthesis strategies for oxygen vacancy control, with
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design nanotech devices that can be used even by non professional people for fast diagnostic at home or doctor's office, control of food quality, safety and security applications where either an emergency
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design nanotech devices that can be used even by non professional people for fast diagnostic at home or doctor's office, control of food quality, safety and security applications where either an emergency
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will carry out predoctoral research and will produce a doctoral thesis that engages with the tasks from the Work Package 2 (Valence asymmetries in linguistic communication and interpretation) and/or Work
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on the application form using the equivalence marks link: pagina - Ministerio de Universidades (sede.gob.es) Applicants should indicate in the application form 3 ICN2 groups they would like to work in. After
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they would like to work in. After submitting their application, the applicant will receive confirmation of receipt by email. For additional information in the application procedure, please contact hr@icn2.cat
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directly. Important: During your application, you will be requested to indicate the research group(s) you are interested in accomplishing your PhD with. The fellowships are offered as part of the ICFO PhD
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://sede.urjc.es/tablon-oficial/categoria/INV/ Work Location(s) Number of offers available1Company/InstituteUniversidad Rey Juan CarlosCountrySpainState/ProvinceMadridCityFuenlabradaPostal Code28942StreetCamino del
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microscopy. Research FieldBiological sciences Additional Information Work Location(s) Number of offers available1Company/InstituteICAM (Instituto de Ciencias Ambientales)CountrySpainCityToledoPostal
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experience working in a group dedicated to materials science and nanotechnology on applying similar tools. Python Programming, AI methods (ML, DL, computer vision) Summary of conditions: Full time work (37,5h