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setting. Conduct process simulations using tools such as Aspen Plus, COMSOL, or equivalent software to predict system performance. Collaborate with engineering companies to develop a prototype carbon
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Professor Katrine Lindholm Bøgh, researches in new and improved strategies for prediction, prevention, management and treatment of food allergies. We are part of the Danish National Food Institute where we
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communication skills in English. The following qualifications are a plus: Experience in audio signal processing or speech processing. Experience in condition monitoring or predictive maintenance. Flexibility and
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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, thermal analysis, materials property characterization (PPMS and MPMS), property prediction with theoretical tools. As a person, you are independent, reliable and possess good communication and interpersonal
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-based models for predicting ecosystem variables such as greenhouse gas fluxes. The research project will primarily target large-scale ecosystem analysis across the EU or the world. We expect that you will