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the master's degree has been awarded. The candidate must have good knowledge in the topic of Cryosheric Processes. Proficiency in scientific coding and data analysis programming languages, such as Python
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the master's degree has been awarded. The candidate must have good knowledge in the topic of Cryosheric Processes. Proficiency in scientific coding and data analysis programming languages, such as Python
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. Proficiency in relevant programming languages (e.g., Python, MATLAB, R) is a requirement. Familiarity with downscaling and bias correction of climate data (e.g., from CMIP/PMIP) is an advantage. Experience with
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requirement Strong programming skills applied to geospatial data, such as satellite data, is a requirement. Experience working with deep learning classification techniques applied to geospatial data is an
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in a qualifying post (e.g., research fellow, research assistant). About the research training As a PhD Research Fellow, you must participate in an approved educational programme for a PhD degree within
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., research fellow, research assistant). About the research training As a PhD Research Fellow, you must participate in an approved educational programme for a PhD degree within a period of 3 years. The deadline
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thinking, natural resource management, and the UN’s sustainability agenda. Experience with field studies is a requirement. Relevant background in statistics and/or programming is a requirement Applicants
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, research assistant). About the research training As a PhD Research Fellow, you must participate in an approved educational programme for a PhD degree within a period of 3 years. The deadline for applying
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towards this goal. The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en/research/phd
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of four years with 25% compulsory work (primarily teaching). The candidate will be expected to contribute to the Master’s programme Organization, Leadership and Work (OLA) at the Department