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including pension) and excellent conditions to excel in their research. Further information is available Associate Professor Ramkrishan Maheshwari, phone: +45 65 50 16 86, email: ramkrishan@sdu.dk If you
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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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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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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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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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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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no footprint on the seabed. Boulder reefs and concrete reefs will be deployed during the spring 2025 and surveyed afterwards. Pre-reef data were collected in 2023 and are also available for your project. Both
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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