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occupying more than 5,000 square metres, including innovations in all that we do An environment encouraging curiosity, innovation and entrepreneurship in all areas Personalized learning programme to foster
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SD-25157 RESEARCHER IN ATMOSPHERIC PLASMA TREATMENT OF METALLIC SURFACES FOR INDUSTRIAL APPLICATIONS
occupying more than 5,000 square metres, including innovations in all that we do An environment encouraging curiosity, innovation and entrepreneurship in all areas Personalized learning programme to foster
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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 work environment
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in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with more than 50 nationalities
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This role will support multiple aspects of programme development, including the construction of new bioluminescent and other reporter strains of human fungal pathogens, development, optimisation, and
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and cancer, understanding these connections allows us to gain new insights into biological concepts and disease targets. We are particularly interested in investigating the metabolic programs (e.g
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scientific track-record (e.g. publications in high-impact journals). Good programming skills at least in one of the high-level languages is essential. Proficient in English, the working language at ISTA, and
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. Activities of the successful candidate: Conduct extensive background literature analysis. Plan and organise experiments to define and test hypotheses and develop forefront research. Publish the results
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. The Department of Neurosciences brings together the expertise of multiple teams engaged in cutting-edge research, quality teaching and the promotion of innovation in a multidisciplinary context. Home to a critical
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interannual variability of spectral signatures in different bands (Planet, Sentinel-3, Sentinel-2, ECOSTRESS, Landsat, SMAP), which will be linked to LUE-WUE and gc information from multiple eddy covariance