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on forests and forestry as complex socio-ecological systems. We closely collaborate with multiple stakeholders and conduct applied research in silviculture, forest ecology, pathology, policy and planning. We
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the following information: Letter motivating your application for this position, which should also include a link to your master thesis (or this can be submitted separately) and the email addresses of two
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perception, decentralization and mission execution. The RAI team has a strong European participation in multiple R&D&I projects, while RAI was also participating in the DARPA SUB-T challenge with the CoSTAR
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system will manage and adjust the way information is used in real time. Cranfield University is a globally recognised postgraduate institution focused on applied research and strong links with industry
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”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
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Finance and AC (the Danish Confederation of Professional Associations). Please check links for more information on salary (only available in Danish) and taxation. The successful candidate will be enrolled
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, PhD students, and postdocs who are travelling to Munich for a set period of time to find accommodation. For further information, please visit the following link: https://www.lmu.de/en/study/important
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The International Office helps visiting academics, PhD students, and postdocs who are relocating to Munich to find accommodation. For further information, please visit the following link: https://www.lmu.de/en/study
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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to guide land allocation and nitrogen management, or developing dashboards that fuse multiple data streams to improve on-farm planning. The project is strongly industry-linked, with a clear pathway to