606 engineering-computation "https:" "https:" "https:" "https:" "Lodz University of Technology" PhD positions in Germany
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problems Proficiency in data analysis and programming using at least one statistical program such as R, Python, or similar programming languages Experience with GAMS, GTAP, and Exiobase is an asset. Skills
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Degree PhD Course location Potsdam In cooperation with This programme is offered by the Faculty of Digital Engineering, a faculty jointly founded by the Hasso Plattner Institute (HPI) and the
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scheduling Contribution to the research project on Compton camera Your profile: Master's degree in computer science, electrical engineering, mechatronics, or a related field. Knowledge of optimization methods
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German Institute for Economic Research (DIW Berlin) • | Berlin, Berlin | Germany | about 7 hours ago
engineering, statistics, or quantitative social sciences) may also fulfil requirements for the programme if applicants have sufficient background knowledge in economics. Applicants whose native language is not
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Degree PhD Medical Research Course location München Teaching language English Languages Courses are mostly held in English. Programme duration 6 semesters Beginning Winter semester Application
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Master's degree / PhD programme No Joint degree / double degree programme No Description/content ENWAT (Environment Water) is facilitated by the Civil and Environmental Engineering Sciences Department
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knowledge and skills that go beyond a curricular programme of study, namely, through the active participation in the academic affairs of the Faculty and Institute of Geography. For more information: http
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Environment, SLICE will therefore develop a research and training programme that bridges the current divide between space engineering and climate science to close the gaps that exist in the Life-Cycle Analysis
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Environment, SLICE will therefore develop a research and training programme that bridges the current divide between space engineering and climate science to close the gaps that exist in the Life-Cycle Analysis
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages