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                . The appointment will be made at a competitive salary and will follow the PhD study programme at the Faculty of Science . This position is embedded in the Sapere Aude: DFF-Research Leader project “FunQ: Quantum 
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                comparable degree at the same academic level). Nice to have (role dependent): Specialization in agricultural/field/industrial robotics, mechatronics, embedded systems, or wireless communication (PhD#1 and #2 
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                location Charité Campus Charité Mitte Jobcode 5362 Salary group E13 Working at Charité Our group Predictive Tissue Medicine is embedded in pathology, uro-oncology, and the Charité Comprehensive Cancer Center 
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                ! INSTITUTE AND RESEARCH: The Institute of Cellular Virology, headed by Prof. Dr. Mario Schelhaas is embedded within a vibrant research environment and part of various research networks. Located within 
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                colleagues who share a common interest in the function of the nervous system. The selected PhD candidate will be embedded in the VDS CoBeNe, which stands for quality assurance in PhD training and education and 
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                employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The positions offer the chance to obtain further academic qualification (usually PhD). Each PhD 
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                Description We are seeking a motivated new PhD candidate who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between the Guilliams, Saelens 
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                systems and their applications. We are embedded in the Department of Cell and Chemical Biology (CCB) at the LUMC, where curiosity-driven research and collaboration across disciplines are central. Our 
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                live in. Your role The PhD position is embedded within the MICRO-PATH Doctoral Training Programme, funded by the Luxembourg National Research Fund. MICRO-PATH, or Pathogenesis in the Age of 
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                block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having