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vision, machine learning, deep learning and neural networks, as well as courses in python, GPU programming, mathematical modeling and statistics, or equivalent. We are looking for candidates with: A solid
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: A qualifying university master’s degree in physics, engineering, meteorology, or a comparable field. Knowledge of fluid dynamics or nonlinear systems Experience in programming with Matlab or Python
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under the guidance of Dr Siria Xiyueyao Luo, Dr Qiong Tang, and Prof. Tammo Bijmolt, with opportunities to collaborate with other faculty members. Together, we will explore your research interests and how
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messages that truly resonate with consumers. You will conduct research under the guidance of Dr Siria Xiyueyao Luo, Dr Qiong Tang, and Prof. Tammo Bijmolt, with opportunities to collaborate with other
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also be able to demonstrate excellent ability to code with or learn computer programming languages, such as C++, C#, Python, and/or Matlab. A desire to engage in cross-disciplinary research
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networks, as well as courses in python, GPU programming, mathematical modeling and statistics, or equivalent. We are looking for candidates with: A solid academic background with thorough computational and
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). The successful candidate will work in Maximilian Larena’s research group, and co-supervised by Prof. Mattias Jakobsson and Prof. Carina Schlebusch. The research program consists of an international team
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learning, deep learning and relevant software framework (R and Python) is highly desired. Very good oral and written communication skills in English are required. Emphasis will also be given on personal
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an international research team and receive generous financial support for a research stay abroad during their doctorate. The project is led by Prof. Dr. Marcello Ienca (TU Munich) and Dr. Lily Frank (TU Eindhoven
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technologies for various applications including underwater acoustic communications. Prof. Rong (total citations 4744; h-index 37) has good track record in underwater acoustic communications. The supervisors