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- Delft University of Technology (TU Delft); Published today
- Delft University of Technology (TU Delft); today published
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opportunity to be part of the BaySensAI project (https://go.ur.de/baysenseai ) and develop an AI-based prediction and monitoring system for biodiversity data as part of the Bavarian research network bayklif2
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be supervised by Svenja Fischer, Ryan Teuling and Josh Ho (from ESG group). Where to apply Website https://www.academictransfer.com/en/jobs/357374/phd-candidate-incorporation-of-… Requirements Specific
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understanding. You will be supervised by Svenja Fischer, Ryan Teuling and Claudia Brauer. Where to apply Website https://www.academictransfer.com/en/jobs/357376/phd-candidate-ml-based-predicti… Requirements
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Kepler University Linz (JKU). Check out the detailed announcement on our homepage: https://www.pro2future.at/phd-candidate-within-the-topic-ai-driven-software-instrumentation/ Where to apply E-mail jobs
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experience with finite element or finite difference modelling and its underlying fundamentals. The student should be able to program in MATALB or Python (MATLAB preferred as lead supervisor is more familiar
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of command-line tools, Python, or R for data analysis is a significant advantage. Language: Proficiency in English (written and spoken) is mandatory, as this is an international collaboration project. French
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, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Practical laboratory skills and an enthusiasm
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independent work and effective collaboration, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Participation
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programme (dr. Emma Beauxis Aussalet & Prof. dr. Mark Hoogendoorn). Where to apply Website https://www.academictransfer.com/en/jobs/357049/phd-position-in-sentiment-analy… Requirements Specific Requirements
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with CamDragon Co. Ltd, a Cambridge-based SME offering engineering consultancy and STEM education