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environments Contribute to the design, implementation and testing of a novel AUV concept Carry out experimental work with AUVs in real marine environments for data collection and validation of developed
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paid fellowship with a very competitive salary (a minimum monthly gross salary of DKK 36,138 including pension) and excellent conditions to excel in their research. Further information is available
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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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components are in use. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process
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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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: Protocols for two systematic reviews Protocols for three information studies. The two protocols will be for Cochrane reviews investigating the effects of blood-based genetic testing to screen for multiple
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the MSCA Doctoral Network CoDeF, with four of the PhD positions located in and around Copenhagen. More information on the CoDeF training network can be found here . Your main supervisor will be Professor
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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