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applications (Python, C/C++, or related languages) Further information about this position is available via email from Assistant Professor Mubashrah Saddiqa (msad@mmmi.sdu.dk ) or Torben Worm (tow@mmmi.sdu.dk
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us to explore the relation between the degree and type of processing, and the foods that result from their use. The results will be used for data machine learning, in collaboration with other partners
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phenological data using camera and drone-based imagery. Use genetic analyses to assess the relationship between genetic differentiation and phenological variation. Develop and implement advanced statistical
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on other issues. Both the type of information required to make these decisions and the decision-making processes that can achieve socially just outcomes are unknown. In this project, we aim to bridge
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research. Further information Further information about this position is available via email from Professor Christoffer Sloth chsl@mmmi.sdu.dk . Please visit us on LinkedIn: https://www.linkedin.com/company
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researchers to analyze gene expression patterns within intact tissue architectures. By preserving the spatial information of RNA molecules in biological samples, this technology provides insights into gene
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a focus on mentoring and individual career development. Training in state-of-the-art technologies and data analysis as well as research management, oral and written communication, and networking
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-mentioned requirements. Questions For specific information about the position, please contact Andrew Blackford by email: ablackford@sund.ku.dk . For further general questions about the position, please