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educational background and completed research work. Your application must also contain a plan for your doctoral project which includes: project description plan for the training component progress plan funding
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at Museum of Cultural History. The tasks of the researcher include: analysis and revision of available data, based on materials in the Runic Archives at Museum of Cultural History and existing digital
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and programming (e.g. R or Python) is required Experience with data analysis related to terrestrial ecology, geography, soil science, or atmospheric sciences. Personal qualities: Strong academic drive
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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
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relevant topics as the research topic rests heavily on quantitative analysis, design of algorithms, and proofs of algorithm properties. Importantly, the successful candidate has a strong interest in
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analysis. Good communications skills. Good written and oral English language skills. Personal characteristics Motivated, goal-oriented and well-organized. A strong interest in DNA biology, especially genome
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on seasonal meltwater flows that are increasingly prone to change and decline. The project component to which you will contribute significantly uses climate scenarios, regional climate modelling and glacio
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training component comprises 30 ECTS (10 ECTS are granted for compulsory courses, 20 ECTS are granted for elective courses) and the research component (dissertation) comprises 150 ECTS. The compulsory
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electron microscopy analysis, Raman spectroscopy, fluid inclusion analysis, potentially appropriate petrochronological methods, and 3D geological modelling. The project will be conducted in partnership with
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of the position: Follow the faculty’s PhD program Plan design and carry out experiments and their analysis Prepare research articles for peer-reviewed journals (min. 3) Be willing to present results at conferences