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Field
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structured four-year PhD programme with a range of taught courses in the first year and further professional training offered in other years. The programme combines the rigour and professionalism
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or computer science Experience with UNIX-like operating systems Mathematical and programming skills (Python, Machine Learning) Basic understanding of molecular forces and structures Excellent knowledge of written and
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) , was created. The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest
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of Professional Associations on Academics in the State (AC). The position is covered by the Protocol on Job Structure. Responsibilities and tasks in both PhD programmes Carry through an independent research project
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innovative dynamics of sectoral structures Innovative change, increasing product variety and demand Methodological extensions are part of this programme. Course organisation The programme is intended to be
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. These are engineered composite structures, invoking dispersive wave phenomena to gain exotic properties that go beyond what is considered possible in Nature. A key property is the bandgap, a range in which waves
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relevant dimensions, such as cultural techno-complexes or settlement systems. The doctoral student's work plan will be structured around the objective of characterising the origins and diffusion of schematic
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is part of the MET2ADAPT Doctoral Network (Meta-Materials and Meta-Structures for Adaptable, Resilient and Sustainable Renewable Energy Power Plants), a prestigious Marie Skłodowska-Curie Doctoral
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are able to: Work independently and take initiative Work in a structured way, set goals, and make plans to achieve them Present and discuss your research with other professionals Collaborate
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quantitative methods (e.g., regression, multilevel modeling, structural equation modeling) is an advantage. Interest and/or experience with experimental, big data, and/or mixed methods research designs. Strong