293 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" "St" "St" "St" research jobs in Spain
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- Institute of Photonic Sciences
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and their research interests can be obtained through our website: https://ific.uv.es Applicants are expected to have a competitive research track record in theoretical particle physics, and a strong
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: Project Doctor Collaborator Type 1, largely a researcher in nature. Tasks to carry out: to design and manufacture electronic and mechanical systems for volumetric displays. Where to apply Website https
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pipelines for SDC workflows. Quantify SEI/CEI formation and evolution via CV/GCD/EIS/GITT/dQdV. Assist in operando/ in situ characterisation (e.g., FTIR, XRD, Raman) to correlate structure–property
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. Elegibility criteria: here . Where to apply Website https://sede.upct.es/tramites/UI0007 Requirements Research FieldAgricultural sciences » OtherEducation LevelPhD or equivalent Research FieldAgricultural
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Website https://sede.upct.es/tramites/UI0007 Requirements Research FieldAgricultural sciences » Agricultural productsEducation LevelPhD or equivalent Research FieldAgricultural sciences » Agricultural
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Website https://sede.upct.es/tramites/UI0007 Requirements Research FieldAgricultural sciences » Agricultural productsEducation LevelPhD or equivalent Research FieldAgricultural sciences » Agricultural
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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Hospital, Málaga. Where to apply Website https://www.rfgi.es/ConvocatoriasPropiasFIMABIS/es/Convocatorias/VerConvocatori… Requirements Research FieldMedical sciences » Health sciencesEducation LevelPhD
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analysis and in the scientific development of the project, under the supervision of the responsible researcher. Collaboration in the presentation of results in oral and written communications (articles
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assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy fields. Part of the project will also include the development of deep learning frameworks for TEM image