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written and spoken Willingness to engage in interdisciplinary collaboration and fieldwork Advantageous: Knowledge of bat ecology and species identification Experience with machine learning or automated
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within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer
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and managerial skills to help reshape Public Interest Media across diverse European contexts. The position requires relocation to Copenhagen, Denmark, as the candidate will be enrolled in the PhD
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or similar. Experience in handling dynamic modelling and control, experimental setup and testing, Digital Twin and Machine Learning Publication experience Collaboration and/or management skills Communication
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Max Planck Institute for the Study of Societies • | Koln, Nordrhein Westfalen | Germany | 2 days ago
International learning and working experiences in dynamic Cologne, Germany Exchange with partner institutions in France (including a dual degree opportunity), Italy, Denmark, and the United States Financial
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date. Candidates must be willing to move to Denmark for the duration of the PhD research. Please see the RePIM project website (https://repimnetwork.eu/recruitment/ ) for further information
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project courses and BSc and MSc thesis projects and co-supervise PhD thesis. Have high self-motivation to learn. The selected candidates will be enrolled in the Lecturer Training Programme at SDU
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are seeking a candidate for a vacant position as Tenure Track assistant professor in AI and machine learning to develop a novel research area within the use of agentic AI models for improved analyses of whole
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polar orbit, passing near the poles about 15 times per day and regularly observing the CIFAR study region. Its payload - two optical cameras, a thermal camera, and onboard machine-learning capabilities
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analysis and biomedical data analysis, with demonstrated experience in organ segmentation from medical images, using both traditional and machine learning–based methods, and creation of large segmentation