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consolidated data model and advanced analytics to facilitate strategic decisions with relevant stakeholders. The candidate will be involved in various (inter-)national initiatives and engaged with different
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proper customization, fine-tuning, extension to include context- or time-specific information and above all how to make all the process as much as automated as possible to support the automatic analytics
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consolidated data model and advanced analytics to facilitate strategic decisions with relevant stakeholders. The candidate will be involved in various (inter-)national initiatives and engaged with different
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Health. METAMIC 3 is funded by the European Commission under the Horizon Europe framework programme (Grant Agreement number 101225682). The METAMIC 3 project will embed Doctoral Candidates (DCs) in a
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acceptability. D2ET will develop a comprehensive digital platform for planning energy transition scenarios, leveraging a consolidated data model and advanced analytics to facilitate strategic decisions with
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social acceptability. D2ET will develop a comprehensive digital platform for planning energy transition scenarios, leveraging a consolidated data model and advanced analytics to facilitate strategic
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Research FieldComputer scienceEducation LevelMaster Degree or equivalent Additional Information Work Location(s) Number of offers available1Company/InstituteUniversity of LuxembourgCountryLuxembourgCityEsch
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programme (Grant Agreement number 101225682). The METAMIC 3 project will embed Doctoral Candidates (DCs) in a unique training environment to advance microbiome science through metaproteomics. The program
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of the ecosystem to recover from perturbations that eventually lead the system to a different state. In such definition, vulnerability quantifies the degree of the forest ecosystem response to such external
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skills and expertise with the requirements mentioned above. PhD additional conditions: · Supervisor at LIST: Dr Martin SCHLERF, Lead R&T Scientist · Work location: Luxembourg Institute