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Pathogenesis in the age of the microbiome (MICRO-PATH; https://micro-path.uni.lu ) is a highly competitive, interdisciplinary, research-intensive PhD training programme, supported by the PRIDE
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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
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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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· Personalized 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
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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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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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interfaces to enable their exploratory and computational analysis. Conduct original data-driven historical research on newspaper and radio sources Contribute to the development of innovative computational
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Education:MSc degree or equivalent in Computer Science or Engineering Experience: The ideal candidate should have some knowledge and/or experience in several of the following key topics: Energy
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The post-doctoral researcher will construct and use bespoke experimental apparatuses for inducing macroscopically patterned flows, including multiple vortices, of LCE precursors. Specifically, the set-ups should subject liquid crystalline as well as isotropic liquids, which may be highly viscous...
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The successful candidate will join the Enzymology & Metabolism group, led by Prof. Carole Linster, which deciphers the cellular metabolism in rare and more common neurodegenerative or neurometabolic diseases. We exploit genomic and post-genomic data to fill gaps in metabolic networks, discover...