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Field
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/PhD) or related field. - Simulation & data: TRNSYS (or similar), time-series processing; Python (pandas/numpy). - Experience with GIS and/or climate/solar datasets (e.g., METEONORM, PVGIS
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Geográfica (SIG). - Dominio en modelización estadística de datos y de software estadístico y SIG (R, QGIS/ArcGIS, Python). - Experiencia en la redacción de textos científicos y buen nivel de comunicación
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 7 hours ago
modeling, or machine learning - Experience with large-scale genomic data analysis (e.g., GWAS, QTL, PRS, or multi-omics integration) Strong programming skills in R or Python; familiarity with Bayesian
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experience Skills in using GEANT4/ Python/ LaTeX/ C++/ ROOT(CERN)/ Linux/ Monte Carlo simulation LanguagesROMANIANLevelExcellent LanguagesENGLISHLevelExcellent Research FieldPhysicsYears of Research
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of programming languages (e.g., Python or R) We offer: • An exciting and highly topical research project • Supportive working atmosphere in an international research team • Collaboration with national and
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. Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in 2D convolutional neural networks in Python. This is a part-time position (5
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. ability to code MBSE models in Capella. proficiency in Python programming. Application Welcome with your application, no later than October 7, 2025, including: Motivation letter CV Certified diplomas
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of programming languages (e.g., Python or R)We offer: • An exciting and highly topical research project • Supportive working atmosphere in an international research team • Collaboration with national and
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2D convolutional neural networks in Python. This is a part-time position (5 hours/week) funded until 31/03/2026 with a possibility of extension and is suitable for a Ph.D. student with relevant
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for analysis of the LiDAR data); basic knowledge of R or Python programming language and ability to use it in statistical analysis and processing remotely sensed data is also expected. Ability to work in a team