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using Python, R, Matlab, Julia or similar is required. Knowledge of energy systems, energy system modelling or the European energy market will be an advantage. Understanding of atmospheric processes
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employment. Documented knowledge on renewable energy is required. Experience and proven knowledge in scientific programming using Python, R, Matlab, Julia or similar is required. Knowledge of energy systems
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
integration, processing, and modeling. Familiarity with research methodologies related to innovation and sustainability. Competence in programming languages such as Python, R, or Stata. Contact information
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Python or Matlab) are required. Experience in numerical modelling is an advantage. Experience with time series analysis is an advantage. Applicants must be able to work independently and in a structured
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the master's degree has been awarded. A good understanding of oceanic physical processes and dynamics is required. Good skills in mathematics and scientific programming (ideally Matlab or Python) are required
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. Experience in programming in languages such as MATLAB, R or Python is a requirement. Experience in Magnetic Resonance (NMR, MRS, or MRI) is a requirement. Experience in machine learning and processing
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. Good skills in mathematics and scientific programming (ideally Python or Matlab) are required. Experience in numerical modelling is an advantage. Experience with time series analysis is an advantage
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scientific programming (ideally Matlab or Python) are required. Experience in time series analysis is an advantage. Experience in satellite altimetry data at the different processing levels is an advantage
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employment that the master's degree has been awarded. Experience in programming in languages such as MATLAB, R or Python is a requirement. Experience in Magnetic Resonance (NMR, MRS, or MRI) is a requirement
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is also expected to re-implement historical narrative systems in Python and help determine the course of a larger collaborative CNS project dealing with such systems. About the LEAD AI fellowship