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The Department of Food Science, Aarhus University (Denmark), invites applications for a 36-month postdoc position to work the physical chemistry of food proteins, in particular their structure
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research, operations management, supply chain management, business data science and business intelligence Different job packages can be offered including fixed-term postdoc and assistant professorships up
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Ability to work independently and manage your research project Ability to critically review research results generated as part of the project Engagement in Departmental and Laboratory activities including
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the deadline and not to consider applications that do not live up to the abovementioned requirements. The Further Process After the expiry of the deadline for applications, the authorized recruitment manager
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modelling will focus on integrating the nitrogen cycle and GHG fluxes at the field and farm scales, thereby improving our understanding of how different management practices influence the landscape. Your work
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
on monitoring biodiversity, water resources and management, and carbon dynamics across several newly implemented, restored, or preserved wetland showcases in rural, peri-urban, and urban areas of Europe, spanning
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. After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee. You can read about the recruitment process
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on monitoring biodiversity, water resources and management, and carbon dynamics across several newly implemented, restored, or preserved wetland showcases in rural, peri-urban, and urban areas of Europe, spanning
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(e.g. scikit-learn, PyTorch). Flexibility to adapt to different application fields. Independence and time management. Who we are The Computational Physics and Machine Learning Lab led by prof. Lucantonio
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modelling will focus on integrating the nitrogen cycle and GHG fluxes at the field and farm scales, thereby improving our understanding of how different management practices influence the landscape. Your work