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Field
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within the project Data analysis and publications in peer-reviewed scientific journals and presenting at international scientific conferences. Contribute to and support (on-going and future) research
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collaboration skills. Effective analytical and problem-solving abilities. Ability to manage multiple projects and meet deadlines. Proficiency in research methodologies and data analysis. Ability to work
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. Demonstrated high level of computing skills, including competency with qualitative analysis software (NVivo), spreadsheets and data management systems. Experience in contributing towards producing conference
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contact information for three professional references. Candidates will be notified prior to references being contacted. Any application missing the above information may be considered incomplete. Department
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Experience working with peer-researchers/co-facilitators Desirable criteria Understanding of data confidentiality and data security Experience working across policy, public health, voluntary sectors, or with
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research If you are interested in a PhD, there is the possibility to support you in this endeavour We offer Secure remuneration according to the collective agreement (TV-L) including the usual social
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and human health risks. The work will require interdisciplinary approaches to integrate and analyze a multi-year dataset that includes both in-situ water quality monitoring data, fish sample analysis
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of agroforestry, along with direct experience in outreach and engagement. Demonstrated success with grant writing and securing funding from diverse external sources to support research and outreach activities
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Artificial Intelligence, Stochastic Modeling and Optimization, and Data-driven Decision-making with applications in supply chain and operations management. This position offers an exciting opportunity
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, and Internet-of-Things / Industry 4.0 technologies. Knowledge of computer science principles and modern AI approaches in computer vision and/or time series analysis is a plus. The position requires