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doctoral programmes: any time Additional information on beginning, duration and mode of study The courses always start in spring. Depending on the topic, courses will either be held in person or online (only
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, vectorized query execution, indexes for interactive data analysis, and analytical in-process database systems. We have spawned multiple spin-off companies (Data Distilleries, VectorWise, MonetDB Solutions and
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, the ideal candidate will also have an interest in developing quantitative data analysis skills. The PhD is supervised by Dr. Ann-Marie Creaven (expert in loneliness) and Dr. Aoife Whiston (expert in network
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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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”, 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