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the sections available on the Apply UC electronic platform, under “My application”. When formalizing the application, if a classified document is submitted that reveals commercial or industrial secrets
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workflows. Maintenance and troubleshooting of core instrumentation. Instrument method development & optimization: Ability to develop, optimize, and validate sequencing methods will be preferred. Strong
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method development & optimization: Proven ability to develop, optimize, and validate LC-MS/MS methods for complex sample types. Expertise in extracting proteins, metabolites, and lipids and performing nano
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Grant/funding reference: PID2022-139832NB-I00 Job title: Multibody system dynamics methods for backlash detection and monitoring in industrial machinery Research line / Scientific-technical services
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Grant/funding reference: PID2022-139832NB-I00 Job title: Multibody system dynamics methods for backlash detection and monitoring in industrial machinery Research line / Scientific-technical services
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of the project: WP3: Curriculum development, methods and implementation WP4: Digital skills, training and practical experience (partnership industry / university) WP6: Digital ecosystem WP7: Quality and Impact of
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foreign higher education institutions and paragraph e) of no. 2 of article 4 of Decree-Law no. 60/2018, of August 3, and any formalities established therein must be complied with by the date of the hiring
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or for the duration of the project, within the scope of the project ONCOSCRREN – A European “shield” against colorectal cancer based on novel, more precise and affordable risk-based screening methods (PI177-CI-IPOP-01
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conferences. The main tasks will include: designing and implementing methods for generating synthetic data aimed at diagnosing limitations, biases and errors in AI models; developing and testing strategies
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systems, and decision support systems, with a focus on applying Artificial Intelligence methods and tools in industry; Participation in scientific research and development projects; Authorship of at least 6