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- 
                Field
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                using UCINET software or coding in R. Writing and Presentation Development Synthesizing data from multiple sources to communicate findings via written, visual (i.e. sociograms), and multimedia displays 
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                can manage multiple tasks. You keep calm under pressure and meet deadlines. You have a strong commitment to open science principles What else do we offer you A fully funded 0.8FTE postdoctoral 
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                improving material and energy systems across multiple applications, including: High-temperature corrosion prevention Development of advanced fuel cells Recycling of valuable materials Innovations in nuclear 
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                their personal and professional ambitions Gender-friendly environment with multiple actions to attract, develop and retain women in science 32 days’ paid annual leave, 11 public holidays, 13-month salary 
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                code 1352 Postdoctoral Fellow (NOK 604 900-750 000) depending on qualifications. For particularly well-qualified applicants, a higher salary may be considered. The position follows ordinary meriting 
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                intersectoral research and is in line with the European Charter and Code of Conduct, which is designed to improve the attractiveness and conditions of a research career in Europe by standardising practices and 
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                phenotyping of health outcomes at multiple time-points. S/he will work within a diverse, highly collaborative, and multi-disciplinary research environment and interact with world leaders in the fields of cancer 
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                generate a new understanding of MoSS. These advances will have applications across multiple sectors, including pharmaceuticals, agrochemicals, and food industries. There are multiple opportunities 
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                Development – 80% ● Develop a control system for a robot with multiple degrees of freedom. ● Coding software routines for robotic exoskeleton using Python and/or C++. ● Debugging and embedding software 
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                computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues