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for fast tune-up Implementation and benchmarking of quantum algorithms Qualifications We are seeking candidates with: A PhD in Physics, Applied Physics, Nanotechnology, Computer Science, Engineering, or a
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biology, evolutionary biology, microbiology, environmental science and technology, animal welfare and zoonotic ecology. Subject area for the position: Ecology with focus on Disease Ecology Location until
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biology, evolutionary biology, microbiology, environmental science and environmental engineering as well as disease ecology. The Linnaeus University centre in Ecology and Evolution in Microbial Model
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is characterized by a modern view of the statistical subject, where probabilistic models are combined with computational algorithms to solve challenging complex problems, as well as a statistical view
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-vascular plants and other cryptogams Subject area description The subject area is the scientific study of evolutionary relationships, diversity, and classification of non-vascular plants, fungi, and algae
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Subject area description Vascular plant systematics is the scientific study of evolutionary relationships, diversity, and taxonomy of vascular plants. It integrates fieldwork, herbarium-based research and
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. This involves formulation, implementation, and validation of novel hybrid models. The study emphasizes methodological innovation, scalable algorithms, and translation to industrially relevant multiphase reactors
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computing, networked systems, and beyond. The work will range from theoretical and algorithmic development of distributed protocols and coordination mechanisms, through the design and implementation
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the Department of Biology includes many of these specialisations, from molecular biology to applied ecology, from viruses and individual cells to evolutionary biology and global biodiversity. Taking on research
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this project, we will develop new algorithms and computational schemes as well as further develop existing computational frameworks in the team. We will focus on two related frameworks in the project