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fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator facilities is advantageous. We
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in programming languages such as Python and C++. Goal is the development and integration of new and automated measurement capabilities for ultra-sensitive low-energy AMS. This includes extending and
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‐sharing agreements. Data analysis & interpretation: Process and interpret high‑throughput sequencing outputs to assess biodiversity patterns across multiple MPA sites. Comparative evaluation: Critically
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discipline relevant to our research fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator
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expertise and supervision of experienced researchers from multiple institutes at Forschungszentrum Jülich. As one of Europe’s largest and most multidisciplinary research centers, Forschungszentrum Jülich
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productivity. Multiple coordinated observing strategies, including research vessels and a large ensemble of autonomous platforms, will collect physical, chemical, and biological datasets across scales
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macroeconomic and financial time series from multiple countries in a single, open resource. In this internship, you will learn how to collect, update and manage historical data. The internship is based in our
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Mechatronics, Electrical-Electronic Engineering, Computer Science, or a closely related field; Proven hands-on experience in software development with Modern C++ and Python; Demonstrable expertise in robotics
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Science, Transportation Research Part B, or conferences such as SIGKDD, ITSC, CIKM) Strong programming skills in Python Strong interest in scientific research with the goal of obtaining a doctoral degree
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application of complex algorithms very good programming skills in Python independent, structured way of working and ability to work in a team business fluent in English We offer: the chance to contribute