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languages (e.g., Python,MATLAB, Fortran, C++). Strong analytical skills and capabilities in data processing and mathematical modelling are required. Experience with weather or climate models is an advantage
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scientific programming (Python) and deep learning frameworks. Fluent oral and written communication skills in English. Desired qualifications: Expertise in broader topics in computer science, information
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. The candidate must have strong programming skills in one or more languages (e.g., Python,MATLAB, Fortran, C++). Strong analytical skills and capabilities in data processing and mathematical modelling are required
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of the following areas will be a merit. Maritime surveillance, security and safety. Advanced AI methods based on LLMs, Mixture of Experts, and Agentic AI. Experience in ML development on Python. Qualifications
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of the following areas will be a merit. Advanced AI methods development in Python or any other relevant programming language Computer Vision and image analysis Handling of large dataset Qualifications Applicants
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(e.g., Python, R, MATLAB) Background or interest in nature-based solutions and optimization techniques Experience in working with climate model outputs and scenario analysis is an advantage A proven
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analysis, particularly with MRI of the brain. Strong programming skills, for example in Python. Several of the researchers the candidate will work closely with speak English, so very good proficiency in
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previous publications involving statistical analyses. Experience with behavioral methods. Proficiency in R, Python, MATLAB, or JavaScript for data analysis and experiment programming. Experience with grant
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. • Proficiency in one or more relevant programming or scripting languages (e.g., Bash, R, Python) for data processing, statistical analysis, and bioinformatics workflows. Experience working in high-performance
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Learning or Artificial Intelligence Must have good programming skills in Python Language requirement: Good oral and written communication skills in English English requirements for applicants from outside