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experience with molecular simulation and scripting and/or programming languages (e.g. python) is a plus. The start date of the studentships is 1. October 2026. Due to restrictions by the funder
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science, oceanography, physics, environmental science, or a related field • Strong skills in scientific programming (Python, Fortran, or similar) • Interest in Earth system modelling and climate science
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important - Prior experience with density functional theory or machine learning is desirable - Proficiency in the Python programming language is important, as well as Fortran - Strong written and oral
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and microstructure-based modeling Experience with numerical methods for PDEs Programming skills in Python (knowledge of C++, Fortran or HPC is a plus) Scientific curiosity and critical thinking Ability
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Previous experience in protein biochemistry, LC/MS based mass spectrometry Previous experience in handling omics data analysis using software Experience in R and python is a plus but not mandatory Good
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modeling Programming skills in Python and machine learning packages such as PyTorch and TensorFlow Scientific curiosity and critical thinking Ability to work in interdisciplinary environments Motivation
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explore concepts form several topical fields such as: - Acoustics and interfacial fluid mechanics - Advanced wavefront control in complex environments - Experimental instrumentation (Python
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with software such as R, Python, MATLAB, or SAS. 3. Climate and Environmental Science Knowledge Understanding of climate change variables (temperature, air pollution, extreme weather) and their health
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the University of Lleida. Responsibilities and tasks The overall aim is to develop methods and models (mainly in Python and OpenModelica) for optimization, and analysis of scale-grid systems integrated with power
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, or decision-support systems). Skills in data integration and management, including PA, weather, and environmental data. Basic competence in data analysis using tools such as R, Python, or similar. Research