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electron microscopy (TEM). Interest and experience in working with industrial problems. Experience/ knowledge within electrochemistry. Experience with programming and/or data processing in Python. Good oral
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laboratory work. Experience with molecular biology techniques, such as RNA sequencing (from RNA extraction to data analysis) Experience with immunohistochemistry Experience in using R, python or similar
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. More information on the research group can be found here: https://uit.no/research/elsys . The position is for a period of three years. The objective of the position is to complete research training
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microfabrication techniques, such as photolithography and etching. Experience with programming and/or data processing in Python. Knowledge about solid state physics. Knowledge about magnetic materials. Personal
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the starting date of the position. Demonstrated competencies and skills within programming and statistical analyses (e.g., in Python, R, etc) are a requirement. A background in media technology & AI is a
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within programming and statistical analyses (e.g., in Python, R, etc) are a requirement. A background in media technology & AI is a requirement, and knowledge in the centre’s research areas. The applicant
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of the position. Demonstrated competencies and skills within programming and statistical analyses (e.g., in Python, R, etc) are a requirement. A background in media technology & AI is a requirement, and knowledge
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the Nobel Prize in Physiology or Medicine in 2014. The position is part of a collaboration between the research groups of Assoc. Prof. Weijian Zong (group page here ) and Prof. Jonathan Whitlock (https
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selection criteria Strong skills in relevant programming languages, particularly Python and C++, good knowledge in ROS (Robot Operating System) is an advantage, and best practice in data management and use
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, Atmospheric Science, Environmental Science, or related fields Good knowledge and skills in statistics and programming (e.g. R or Python) is required Experience with data analysis related to terrestrial ecology