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knowledge of wireless communications, and signal processing. You have at least intermediary knowledge of machine learning algorithms, including federated learning, split learning, and graph neural networks
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preferred. Good knowledge of English is essential. Candidates should be flexible to work at both host institutions, located ca. 50 km apart with a direct train connection in-between. This position is funded
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Qualification: The candidate should possess an MSc degree or equivalent in Telecommunications and Computer Science. Experience: The ideal candidate should have some knowledge and/or experience in several
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dimensionality reduction as well as analysis of blood proteomic data. We are looking for a student with experience in bioinformatics and relevant statistical methods using R or Python languages. Some knowledge of
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in sensing, quantum technologies, and photonic design to define system concepts and specifications. Support the development of PIC layouts. Documentation and Knowledge Sharing: Prepare technical
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. Strong knowledge of quantitative and/or computational research methods, ideally in econometric analysis or optimization and simulation models. Preferable knowledge in Python and STATA. A collaborative team
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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to the state-of-the-art (min 500 words including 10 references) Elaborate on the scientific motivation for your doctoral research based on scientific knowledge gaps, and the issues that you want to solve with
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, Political Science, or related fields. Strong academic writing and proficient verbal communication skills in English. Knowledge of French, German and/or Luxembourgish is not required General understanding
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we