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PhD fellowship/scholarship - Intercropping of cover crops and vegetables to mitigate nitrate leac...
, Environmental or Soil Science Write and speak English fluently Knowledge of handling and analysing experimental data Ability to work independently and as part of a multidisciplinary team Experience in field
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needed to achieve these temperatures, the control cables connecting to the qubits are often more than 2 meters long. At the same time, a quantum computer powerful enough to solve problems beyond the reach
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interdisciplinary environment, which offers fantastic scientific and social interactions with a large group of talented researchers. Further information on the Niels Bohr Institute is found at https://nbi.ku.dk
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synthetic fuel reactors. Tasks include gas handling, system diagnostics, thermal integration, and performance evaluation under variable power inputs. Data Analysis and Machine Learning: Collect and process
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interested in a longer-term commitment in a growing research group and you are willing to work in close cooperation with industry. You are fluent in English, both spoken and written. Further information is
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enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education
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decision data to mimic administrative rejections and historical grant decisions. Outcomes of Public Funding: How does obtaining or not obtaining public funding affect the subsequent performance of firms and
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PhD degrees in computer science, a BSc in artificial intelligence, and an MSc degree in data science. The project is supervised by Stelios Tsampas (stelios@imada.sdu.dk ) and Marco Peressotti
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in relation to the department – internally as well as externally – and to contribute positively to the department’s working environment, everyday life and ongoing operation. More information about our
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are developed, modelled and controlled. You will create novel adaptative, physics-informed models that tightly integrate thermo-fluid dynamic laws, deep learning neural networks, and experimental data. A key