13 evolution-"https:"-"https:"-"https:"-"FCiências" Postdoctoral positions in Luxembourg
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SD-26065 -POST-DOC IN METHOD DEVELOPMENT FOR HIGH RESOLUTION CHARACTERIZATION OF NOVEL SAFE AND S...
in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? Describe the main responsibilities
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businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? Describe the main responsibilities of the position. The position is placed
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of Science, Technology and Medicine (FSTM) at the University of Luxembourg plays a leading role in developing AI training programmes, coordinating talent development activities, and supporting outreach and
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supported by COMMLab, 6GSPACE Lab, HybridNetLab, QCILab, TelecomAI Lab, CSAT Lab, our SW Simulators, and our Facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups
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and related research and development by: Co-developing and co-teaching GCE modules for primary school teachers and educators Conducting education research related to the development and implementation
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education settings. Insights gained from this research will contribute to the continuous and reflective development of pedagogical practices, providing evidence-based guidance for institutions and supporting
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The Medical Team of the faculty is in a constant development. Our research initiative, in collaboration with clinical partners, is thriving as we explore the effects of fasting and caloric
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for success, and determine developmental needs as well as potentials for innovation. The findings will contribute to the further development of youth-oriented local infrastructures, provide policy-makers and
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sharing clinical data from neurodegenerative disease cohorts. You will be responsible for: Technically contribute and coordinate the development and implementation of data systems and analysis platforms
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-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA sequencing and spatial transcriptomics data from active clinical trials