64 ability-"https:" "https:" "https:" "https:" "https:" "https:" Fellowship research jobs in Norway
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with the ability to work in an accurate and structured manner to carry out the project within the given timeframe. The candidate should be able to work both independently and collaboratively, and be able
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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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, 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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: Software Engineering, Sensor Networks and Engineering Computing and the HVL Software Engineering Group (https://www.hvl.no/forsking/gruppe/programvareutvikling-software-engineering/). The research programme
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programme at the Faculty of Humanities and education. More information is to be found here (in Norwegian): https://www.uia.no/studier/program/phd-program-i-humaniora-og-pedagogikk/ Required qualifications
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relevance of PhD thesis Quality and relevance of publications Ability to work in intersection of theoretical and applied research Ability to collaborate, lead the writing of research papers, ability
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activities is an advantage. Previous research with a strong interdisciplinary focus is an advantage. Applicants must be able to work independently and in a structured manner, and have the ability to cooperate
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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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photovoltaic generation, hydrogen production, and storage alternatives with microgrid-driven power distribution. Through advanced modelling and optimization techniques, this research aims to identify optimum