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2-yr postdoc on Forecasting Biosphere-Scale Effects of Ecological Novelty Using Species Distribut...
Aarhus University. Key international associates to ECONOVO will also be involved. ECONOVO and ECOINF form a cooperative, interdisciplinary research network with extensive international involvement
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discussion within and across different fields of research a work environment with close working relationships, networking and social activities a workplace characterised by professionalism, equality and a
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projects. Expert supervisors and mentors from DTU and Novo Nordisk. Opportunities to participate in conferences, symposia, and networking events to share and enhance your research. Your role will be pivotal
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equipped with the latest technologies, unique data, and a world leading network of collaborators. The Position We are looking to recruit an excellent postdoctoral fellow to join our Metabolomics group, which
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and social network, including mentoring and career development A competitive salary and social benefits (e.g. health coverage, parental leave, social security etc.) Support with practical, social, and
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-of-the-art facilities and computing infrastructure Strong support for research career development, including mentoring and international networking opportunities A commitment to diversity, equity, and
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development, including mentoring and international networking opportunities A commitment to diversity, equity, and inclusion in all aspects of our work A high degree of flexibility and autonomy in planning your
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research climate encouraging lively, open and critical discussion within and across different fields of research a work environment with close working relationships, networking and social activities a
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computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics
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in a variety of national and European projects and features a strong network of academic and industrial partners. We solve challenging research problems from real applications and implement novel