10 parallel-processing-"KTH" Fellowship research jobs in computer-science in Portugal
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 11 days ago
). Selection process Selection will be based on curriculum evaluation. Evaluation Criteria Curriculum Vitae: 60% Bachelor's Degree Classification: 5% Master's Degree Classification: 15% Motivation Letter
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, results and indicators; • Monitoring of results and indicators — collection, processing and analysis of information relating to the project’s scientific and technological results, with a view to monitoring
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CuO nanoparticles. Experience with analytical techniques such as HPLC and GC. Experience in contaminant removal processes. Workplan and objectives to be achieved: Urea plays a fundamental role as a
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. Experience with seaweed farming/production; 6. Experience in light microscopy and seaweed health assessments; 7. Skills in Excel and Word. Non-compliance justifies exclusion from the procedure. 6
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. APPLICATION PROCEDURE:………………………………………………………..…………………..................……..................……..... Applications must be submitted by email to [email protected] , under the subject Nova SBE/BIPD/2026/05
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and identify green skill gaps within the prison context. Phase 2: Data Modelsling and Structuring: Utilize data analysis techniques (e.g., Python and statistical modelling) to process information
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the Management Board. Payment is made on the 23rd of each month, through bank transfer to the Bank Identification Number of the fellow identified in the contractualization process. Other benefits: Reimbursement
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larvae in bee hives: combined effect of phage lysins and probiotics” (operation no 16020) from the Centre of Biological Engineering, financed by national funds through the Portuguese foundation for Science
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; Skills in computer programming. Workplan and objectives to be achieved: Development of Machine Learning tools for retrobiosynthesis pipelines, including: (i) validation and extension of models and tools
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non-degree awarding program; Preferential factors: Experience in food technology, specifically in physicochemical characterization methods for foods and the processing of agri-food waste for