23 programming-language "INSAIT The Institute for Computer Science" Postdoctoral positions in Luxembourg
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to interact with data engineers and IT specialists for model integration. Experience in communicating results through project reports, technical notes or publications is considered a plus. Language skills
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laboratory experimental experience. · You have programming experience, knowledge of Python and Git is a plus. · You have a proven ability to write high-quality scientific papers. Language
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algorithms, or demonstrated ability and willingness to learn quickly Fluent English Ability to work both independently and in collaboration We offer Multilingual and international character. Modern institution
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.). Strong programming skills in Python, C/C++, and experience with data-centric control and monitoring architectures. Knowledge on standard communication protocols for smart grid interoperability, such as IEC
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of six Strategic Research Programs: Data Science for Tires, Tire as a Sensor, End-of-Life Tire Valorization, Sustainable Materials for Non-Pneumatic Tires, Sustainable Materials for Next Generation of
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oriented, organization, and capacity to work as part of an international team, in an interdisciplinary environment. Language skills · Good level in both written and spoken English Your LIST benefits
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Applications in English should include: Curriculum Vitae Cover letter Copies of diplomas List of publications Summary of recent research and projects Sketch of planned research (2 pages each
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Applications in English should include: Cover letter explaining your motivation Curriculum Vitae (including your contact address, work experience) Copies of diplomas List of publications Summary
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Please prepare the following documents in English: Curriculum Vitae (studies with grades, work experience, publication list) Cover letter Abstract of your thesis List of 3 referees description
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, to support our activities within the NEUROH-CHANGE project (Resilience of Neurological Health in Global Change: A One Health Approach). NEUROH-CHANGE is an interdisciplinary research program aimed at enhancing