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- Universidad Politecnica de Cartagena
- ICN2
- Universitat de Barcelona
- BARCELONA SUPERCOMPUTING CENTER
- Barcelona School of Economics
- Catalan Institute for Water Research (ICRA)
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
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materials science, energy materials, or AI-driven experimentation. Experience in national and European collaborative research projects. Personal skills: Strong analytical and problem-solving capabilities
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processing methods. Highly motivated and enthusiastic researcher. Strong analytical skills and a keen interest in the interpretation of complex data. Excellent organization skills, time management and ability
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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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, epistasis). Familiarity with HPC environments. Competences Ability to drive independent research directions. Strong analytical and critical thinking skills. Excellent communication skills. Collaborative
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understanding of how soil management practices influence key physicochemical and biological soil properties in compacted soils. To explore how insights generated from experimental, analytical, or modelling
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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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. Maximum 25 points. SECTION 3: Publications. Points 20 Author of papers in journals indexed in Clarivate Analytics related to the profile of the position: Contribution to indexed journal JCR/Scopus Q1: 10