23 programming-"the"-"DAAD"-"EURAXESS"-"IDAEA-CSIC"-"IMPRS-ML"-"RAEGE-Az" positions at Nature Careers in Belgium
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leadership, the successful candidate will: Enroll to the doctoral programme of the University and undertake research in the field of European law leading to the award of the PhD degree Participate and
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to gather requirements and report findings. A key aspect of the role involves implementing and open-sourcing proof-of-concept software tools, alongside collaborating with other researchers within the program
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motivation for applying (why a doctoral program, why in Luxembourg, minimum 300 words) A statement on the candidate's motivation for applying for this topic (minimum 300 words) Transcript of all modules and
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live in. Your role The PhD position is embedded within the MICRO-PATH Doctoral Training Programme, funded by the Luxembourg National Research Fund. MICRO-PATH, or Pathogenesis in the Age of
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Strong programming skills The following qualifications are considered a bonus: Experience with Large Language Models (LLMs) and Generative AI Familiarity with containerisation and orchestration like Docker
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challenge. We welcome applications from candidates who have the potential to set up an innovative and internationally oriented research program aimed at elucidating the role and directing the use of microbes
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more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ The candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with specialisation
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reviewed scientific publications Your profile Master in Computer Science. Major in machine learning or software engineering is an asset. Strong programming skills. Strong analytical skills. Industry
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. Experience in designing or implementing orchestration tools for complex networks Fluent written and verbal communication skills in English are mandatory Strong analytical and programming skills are required
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Control / Estimation Theory Intermediate programming skills in Python and C++ Intermediate level skills and proven experience with PyTorch Working knowledge of ROS and previous experience of handling