10 parallel-programming Postdoctoral scholarships at Technical University of Munich in Germany
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mission-driven researcher to join a high-impact joint project with the World Wide Fund For Nature (WWF). We are reimagining how the world’s largest mission driven organizations plan, execute, and measure
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-Tracking, and their responsible applications. Ideal candidates will have: An M.Sc. degree (or equivalent) in Computer Science, Game Engineering, Mathematics, Statistics, or related fields. Strong programming
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Equations Requirements: - Master’s / PhD degree in physics, mathematics, computer science, meteorology, or a related field - Excellent skills and strong background in programming (Python and Julia
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mathematics, physics). For Postdoc applicants: Excellent track record in computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one programming language, e.g
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questions. The advertised positions will be part of the project “QS-Gauge: quantum simulation of lattice gauge theories”, funded by the Emmy Noether programme of the DFG. The project’s overarching goal is the
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% international students in the MA program. The visual computing lab embraces its diverse culture, and is proud to host PhD students from over 10 different countries. Our lab language is English. The position is
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(typically mathematics, physics). For Postdocapplicants: Excellent track recordin computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one programming
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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 programming languages
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similar is required. • Hands-on mentality, independent and diligent operation is welcomed. • Excellent at working independently, taking initiatives, responsibilities, able to plan and carry out multi-tasks
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) methods. Experience in handling remote sensing data is a plus Very good programming skills (Python) Very good communication skills (oral and written) in English Ability to work in a highly interdisciplinary