156 programming-"https:" "https:" "https:" "BioData" positions at Forschungszentrum Jülich in Germany
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Approach ( https://vhrz669.hrz.uni-marburg.de/ssf/ ). Understanding the mechanisms controlling subsurface flow (SSF) and the conditions under which it occurs remains a major challenge in hydrology and
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, renewable energies, industrial engineering, materials and earth sciences, or a comparable degree program You are required to have a fluent command of written and spoken English with an extensive vocabular
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digital solutions Practical programming skills, ideally in Python; experience in developing automation, interfaces, or data pipelines is an advantage Basic knowledge of data management, data modeling, and
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NEST: https://nest-simulator.readthedocs.io Your tasks in detail: Work with the NEST main code base and experimental branches Dissect the spiking network simulation cycle into phases and capture the flow
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command of written and spoken English (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally supported by a certificate confirming the language level. Ideally good
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studies Proficiency in one or more programming languages (preferably Python) Independent and structured way of working Strong English skills; German skills are an advantage Our Offer: We work on the very
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Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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) Experience with programming languages (ideally Python) Fluent in written and spoken English Very independent and self-motivated way of working but also excellent teamwork skills High motivation to take on
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information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your Job: Develop physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic