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main tasks will include: developing detailed analysis plans from preregistered protocols; conducting advanced quantitative analyses of longitudinal and dyadic data; handling missing data and conducting
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the work packages led by Professor Jesper W. Schneider. The position will involve a combination of quantitative and qualitative research tasks, including bibliometric analysis, social network analysis
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involving 120+ startups and established companies in robotics. The group is involved in a variety of national and European projects and features a strong network of academic and industrial partners. We are a
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knowledge of one or more endocrine pathways relevant to EU regulatory assessments (EATS modalities). Extensive experience with OECD fish test protocols such as OECD TG 236 and OECD TG 210. Documented
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" technology. Visit his group webpage ( http://mbg.au.dk/yuya-hayashi/ ) for further information. Yuya also organises a cross-departmental network of extracellular vesicle researchers at Aarhus
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in a network of national and international collaborators Research exchange to collaborating institutions is encouraged Access to state-of-the-art equipment, workflows, and infrastructure Competitive
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fields of research. A working environment with teamwork, close working relations, network activities among young scientists and social activities. A workplace characterized by professionalism, equality
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, communication, networking, writing of manuscripts etc. Mentoring and career development in a network of national and international collaborators Research exchange to collaborating institutions is encouraged
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programming in Python, R, or similar languages Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to
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teamwork, close working relations, network activities among young scientists, and social activities a workplace characterized by professionalism, equality, and a healthy work-life balance Place of work