24 python-"https:"-"CRAG-Centre-de-Recerca-Agrigenòmica" Postdoctoral positions in Spain
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- Universitat Autònoma de Barcelona
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
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- Barcelona School of Economics
- Biobizkaia Health Research Institute
- Botanical Institute of Barcelona
- Centre for Genomic Regulation
- Consejo Superior de Investigaciones Científicas
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
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- Principe Felipe Research Center
- Universidad Nebrija
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- Universitat de Girona
- University of Cantabria
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to be developed: Analyze iEEG data. Develop multimodal algorithms. Perform the characterization of the epileptogenic network. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for
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communication tasks of the research results derived from the project. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-pdi-postdo… Requirements Research FieldEngineering
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codes is essential. Experience with modelling conjugated organic molecular-based systems (e.g. electronic structure, charge transport) would be particularly highly valued. Experience in coding with Python
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for research jobs at BSE. Where to apply Website https://docs.google.com/forms/d/e/1FAIpQLSd2BlY7ec2Ye_APkQOxQG5ptmU8YvMhRI4WMHU… Requirements Research FieldMathematics » StatisticsEducation LevelPhD
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statistical analysis of neuroimaging data. Implement, document, and maintain analysis scripts using Python and/or MATLAB. Integrate cognitive, affective, behavioural, and neuroimaging datasets to test
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platforms. Experience in development of digital twins or physics-informed machine learning models. Experience in programming (e.g., Python or equivalent) and development of control or data acquisition
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to the publication of the call for applications: https://seu.ub.edu/ofertaPublicaCategoriaPublic/listPublicacionsAmbCategoria?categoria.id=855899 Where to apply Website http://www.ub.edu/caiac/solBeca?idConvocatoria
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analysis. Background in statistical or physical models of proteins (e.g., Potts models, energy landscapes, coevolution). Strong background in biophysics. Programming skills in Python, R, C++. Experience
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computing, control theory, computer vision, or numerical simulations. Experience with Python-based scientific programming Excellent problem-solving skills, Ability to work collaboratively in a
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coordinating scientific tasks or contributing to collaborative research projects. Experience with data processing and statistical analyses in R or Python is an asset. Experience with emerging contaminants