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to apply Website https://www.jobbnorge.no/en/available-jobs/job/308098/phd-research-fellow-withi… Requirements Research FieldEngineeringEducation LevelMaster Degree or equivalent Skills/Qualifications
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be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the NV faculty's Doctoral Programme . (https://www.ntnu.edu/nv
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quantitative skills are required. Experience and/or a strong interest in meteorology is an advantage. Demonstrated proficiency with scientific programming (e.g. Python) is an advantage. Demonstrated proficiency
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deep learning, with a sound understanding of experimental research methodology documented through coursework, projects, or publications. You must have strong programming skills in Python and experience
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example through relevant work experience and/or peer-reviewed academic works. Experience in mechanical testing Experience with programming in Python or Matlab Strong analytical and problem-solving skills
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optimization. Strong programming skills (Python, Julia, Jax). Experience with numerical optimization is also desirable. Personal characteristics To complete a doctoral degree (PhD), it is important that you are
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. Demonstrated strong proficiency in programming (e.g., Python, PyTorch/JAX, or similar) and computational skills are required for this position. Candidates must have excellent interpersonal and communication
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doctoral programme in Technology within three months of starting in the position. (https://www.usn.no/english/research/postgraduate-studies-phd/our-phd-programmes/technology/). The doctoral programme
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skills in English Candidates without a master’s degree have until 30.11.2026 to complete the final exam. Desired qualifications: Programming experience, e.g. in Python, particularly for machine learning
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essential for this position. A strong interest in probabilistic modelling, latent-variable methods or Bayesian methodology is essential. Demonstrated strong proficiency in programming (e.g., Python, PyTorch