40 computer-science-programming-languages-"O"-"O" Postdoctoral positions in Luxembourg
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Applications should include: Curriculum Vitae Cover letter A copy of the PhD diploma or a letter indicating the expected defense date Copy of a publication The name, current position and relationship to the applicant, of one referee Early application is highly encouraged, as the applications...
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profile PhD in Mathematics, Theoretical Computer Science, Information Theory, Physics or related fields High level of mathematical maturity Experience with topics related to quantum LDPC codes and decoding
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learning programme to foster our staff’s soft and technical skills Multicultural and international work environment with more than 50 nationalities represented in our workforce Diverse and inclusive work
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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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Qualification: PhD in Computer Science Experience in dependable systems, real-time and embedded systems and/or operating systems and the threats and attacks they are exposed to is highly valuable
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electrical engineering, automation, computer engineering, or a closely related discipline, with proven expertise in the operation and control of intelligent energy systems. Experience and skills Solid
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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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· An environment encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international
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of your academic achievements (e.g. top 10–20% nationally) and highlight your theoretical expertise in (bio)chemistry, cell and developmental biology, or molecular biology Early application is highly
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Engineering or a related technical field. Strong proficiency in model-driven or model-based system design, includes domain specific languages, data and system modelling, model transformations. Experience in