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strong background in industrial engineering, computer science, software engineering, energy systems, robotics, or related disciplines Interest in AI, simulation, and optimization for energy and industrial
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conducting human studies with human participants including participant recruitment, data collection, and management of data Advanced skills in statistical analysis using software such as R, STATA, or SPSS
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, communication, networking, presentations, writing of manuscripts etc. Mentoring and career development in a network of national and international collaborators Research exchange to collaborating institutions
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are also Disability Confident Level 1 Employers and members of the Business Disability Forum and Stonewall University Champions Programme. Cranfield Doctoral Network Research students at Cranfield
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information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual
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addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying
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motility in a dense suspension of soft particles mimicking a collection of biological cells, to characterize trypanosome swimming through elastic networks with different pore sizes and elastic properties
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will be actively researched. Apart from the topics above, your own background, research interests and passion will be considered when defining your specific PhD project description. Furthermore, you will
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highly automated, networked mobility, featuring international collaboration with mentors from the USA, Asia, and Europe. TUD and the RTG embody a university culture that is characterized by cosmopolitanism
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arrangement) Wide network of collaboration partners in Germany and abroad Support with career planning and opportunities for research stay abroad