110 structures-"https:"-"https:"-"https:"-"https:"-"LGEF" Fellowship positions in Norway
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the doctoral degree within the timeframe ability to work both independently and collaboratively, while demonstrating creativity, innovation and strong problem-soliving skills a structured approach to work
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conditions is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Applicants must have good written and oral English skills
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must be able to work independently and in a structured manner, and demonstrate both initiative and good collaborative skills. Applicants must have good written and oral English skills Personal and
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the timeframe ability to work independently and in a team, be innovative and creative ability to work structured and handle a heavy workload having a good command of both oral and written English via Unsplash
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; 5-7 pages, where you show your capability to structure a 3-years research study with clear motivation, objectives, research questions, methodologies, expected results and dissemination plan
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equitable and inclusive. This PhD position has an education and society-oriented focus. The PhD Fellow will work with large-scale register and cohort data to investigate how social structures interact with
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thinking Able to work independently and collaboratively Structured and able to manage complex projects Strong in analytical thinking and problem solving Communicative and able to work across disciplines
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an advantage. Experience in participating in cold-region activities or work is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative
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data sets (e.g. HST, TESS) for studies of stellar activity and exoplanet atmospheres. Experience in the construction or application of empirical or semi-empirical models of time-variable stellar
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learning methods for generating complex structures for generation of virus capsids and therapeutic proteins for gene therapy. The project will involve both physics-based forward modeling of protein