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Employer
- ICN2
- Universidad Politecnica de Cartagena
- BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE
- Barcelona School of Economics
- Biobizkaia Health Research Institute
- Centre for Genomic Regulation
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Fundación IMDEA Nanociencia
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- universitat de barcelona
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Field
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candidate will contribute to the theoretical and physical chemistry aspects of the project, with particular emphasis on the analysis and modelling of non-equilibrium chemical systems and reaction–diffusion
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). Knowledge of complex network modelling, omics data analysis or computational simulation. Research FieldOther Internal Application form(s) needed Perfil. .pdf English (606.79 KB - PDF) Download Additional
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Proficiency: Skills in programming languages suitable for numerical simulations and statistical analysis (specifically R or Python). · Analytical Skills: Proven ability to handle complex mathematical
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solution processable metal oxides (classical and complex), halide perovskites (Pb-free, 2D and 3D) and, more recently, 2D materials and MXenes. We aim at the development of highly stable solar cells
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and 2D materials, and oxides. Fabrication of functionalized Pb-free MHPs by solution processing methods. Fabrication of complete Pb-free MHPs solar cells and memristors (TFTs). Stability analysis
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of these heat waves. Collaborate with interdisciplinary teams to address complex research questions and solve real-world problems. Where to apply Website https://seuelectronica.upc.edu/en/procedures
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automation or advanced experimental instrumentation. Experience in data analysis and application of AI techniques to scientific problems. Ability to coordinate technical activities and supervise technical
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Description Research project: CONTEXT DEPENDENT INTERACTIONS IN COMPLEX SYSTEMS: DYNAMICAL PROCESSES PID2024-158120NB-C22 Exhaustive analysis of bibliographic data bases within the framework of the research
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understanding of quality evolution and loss mechanisms within complex supply chains. The problem to address: The growing availability of sensor data, digital information and analytical capabilities in postharvest
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. In addition, factors such as variability in raw material quality, degradation patterns, nutrient dynamics or broader socioeconomic and logistical considerations highlight the complexity of identifying