26 programming-language-"St"-"Washington-University-in-St"-"University-of-St"-"St" PhD positions in Luxembourg
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), immunofluorescence and microscopy Prior experience in RNA biology, NGS and/or Metabolism is an asset Understanding of common bioinformatics approaches and experience with one of the main programming languages for data
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science or related discipline Experience and skills Experience in developing MLIPs, including good programming skills in Python and C, demonstrated via contributions to code repositories Experience with
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activities to completion independently Writing and publication/patenting skills Team player in a multidisciplinary environment Language skills Good level both written and spoken English Your LIST benefits
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Skills: Strong programming skills are an asset Soft Skills: Most importantly, we seek individuals who are curiosity-driven especially interested in interdisciplinary research, eager to continuously learn
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proof-of-concept software tools Machine learning is a plus Strong analytical and programming skills are required (Python, Matlab, and C/C++). Prior proven experience in data-driven innovation projects is
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research the Growing schools; Growing futures initiative, thereby contributing to the research program of the SciTeach Center team, led by Prof. Dr. Christina Siry. The PhD candidate will engage in
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Experience and skills · Excellent written and oral communication skills e.g., in publications, reports, and/or presentations · Collaborative skills, initiative, result oriented, organisation, and
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electrical engineering Experience and skills · Excellent written and oral communication skills e.g., in publications, reports, and/or presentations · Collaborative skills, initiative, result
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cybersecurity allowing thus to validate and receive feedback from on-the-field cybersecurity practitioners. As generative AI (GenAI) platforms and large language models (LLMs) are increasingly integrated
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cybersecurity allowing thus to validate and receive feedback from on-the-field cybersecurity practitioners. As generative AI (GenAI) platforms and large language models (LLMs) are increasingly integrated