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Field
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of the brain requires the collaborative efforts of neurobiologists, neuropsychologists, cognitive scientists, medical researchers, computer scientists, mathematicians, physicists and engineers. Computational
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Max Planck Institute of Molecular Plant Physiology • | Potsdam, Brandenburg | Germany | about 8 hours ago
signals perceived, and how is information transmitted and integrated to ensure plant health, survival, biomass acquisition and seed formation? How can we manage, analyse and integrate complex, large-scale
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Master's students Information event “Studying and Then Earning a Doctorate?” Exposé writing in humanities and social sciences Individual advice/guidance Faculties Faculty 01: Law Faculty 02: Economics and
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amount: from invitations to events to language courses. Regulations on the use of funds (PDF, 737 KB) Information and Recommendations for Award Winners (PDF, 355 KB) Support during research stay Alumni
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deadline The application deadline has not yet been determined. Please check our website (www.ec2-big-nse.de ). Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree
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). • Experience handling large datasets from empirical studies, surveys and GIS desirable. • Interest and experience conducting research in livestock systems, agricultural technologies. • Interest in
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in Life Sciences or in Computational Biology • Experience in flow cytometry, cell culture and in high-dimensional single-cell data analysis and programming skills are a plus • Organizational skills and
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with large-scale data analytics frameworks (Hadoop, Spark, Flink, etc.) is desired - Interest in the development of software systems, very good knowledge and skills in programming with standard
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high resolution from big geospatial data Exchange with our scientific partners Publishing the developed approaches in international journals and conferences Requirements Promising applicants have: A
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of specialization include: Web Application Engineering Model-based Systems Engineering AI for Software Engineering Software Engineering for ML Big Data Architectures Cloud Architectures Contribution to Software