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candidates must be within numerical methods for ODEs and PDEs. A solid background in both the following fields is required: Numerical analysis for ODEs and PDEs Scientific programming using Python, MATLAB, C
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, Netherlands (1 month): training in the CircAdapt cardiovascular modelling platform and model personalisation methods. Where to apply Website https://2411.webcruiter.no/Main2/Recruit/Public/5167521419
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, the candidate must submit a PhD agreement, including a plan for the required doctoral courses and a project description. For more information about the programme, see: http://www.mn.uio.no/english/research/phd
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period at the University of Oslo. The position is based at the Department of Clinical Molecular Biology (EpiGen; https://epigenahuscom.wordpress.com/) at the University of Oslo, Ahus Campus, Lørenskog
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period at the University of Oslo. The position is based at the Department of Clinical Molecular Biology (EpiGen; https://epigenahuscom.wordpress.com/) at the University of Oslo, Ahus Campus, Lørenskog
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modelling for planning structural heart interventions. Where to apply Website https://2411.webcruiter.no/Main2/Recruit/Public/5167557384 Requirements Research FieldEngineering » Biomedical
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, e.g. in Python, particularly for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement
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, the candidate must submit a PhD agreement, including a plan for the required doctoral courses and a project description. For more information about the programme, see: http://www.mn.uio.no/english/research/phd
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listed in the project description above (ideally SAR for cryosphere applications) Strong programming skills (preferably Python or MATLAB) Strong background in statistics Fulfillment of the requirements
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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