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contacts with other disciplines nearby and interacts with biomedicine, pharmacy, physics and materials science. Scientists with expertise in biophysical methods of interaction analysis are responsible for a
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systems (e.g., Snakemake, Nextflow, or equivalent) Prior experience with interactive data visualization frameworks Experience analyzing spatial transcriptomics data (e.g. 10x Visium, image-based) Experience
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around understanding how species interactions change over time and space, with a focus on butterfly caterpillar-plant interactions and development of phylogenetic methods. The EvonetsLab is supported by a
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involved in the commercialization of the methods, as we are on the path to founding a company. Tasks will therefore include interacting with collaborators from industry and public agencies. Qualification
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models of interacting ecological and evolutionary (eco-evolutionary) processes. You will conceptualize and model the complexity in which ecological divergence and speciation drive an adaptive radiation
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will be offered a position in a groundbreaking, international and creative research environment that conducts studies with a basic, translational and clinical focus. Read more on the University website
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position at a leading technical university that generates knowledge and skills for a sustainable future Engaged and ambitious colleagues along with a creative, international and dynamic working environment
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and experience working with plant biodiversity Personal competences Analytical thinking Ability to collaborate Creativity Scope of employment Form of employment : Temporary employment Scope : Full-time
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team. Excellent communication skills are required for interacting effectively with colleagues and peers, including colleagues from complementary research fields. Application The application must include
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the described area (PhD thesis, publication record). Capacity for analytical and creative thinking. Enthusiasm, dedication and an ability to work both independently and in a team. Drive and independence. Written