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(RF) – PhD Students within the scope of the R&D Project 10ID00247 (BiodivNBS/0003/2023) – BRAVE – ‘Biological Invasions Addressed through Adaptable, Versatile and Shared Nature-Based Solutions’, Center
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or irregularities requires tools based on sophisticated data analysis and natural language processing (NLP) techniques, which can consider elements such as sentiment analysis, identification of suspicious behaviour
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and credibility of these processes. Identifying patterns of malicious behaviour or irregularities requires tools based on sophisticated data analysis and natural language processing (NLP) techniques
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: - Experience with modelling of interaction between natural and human systems (energy, ecological and climate modelling). - Knowledge of Systems Dynamics modelling, with experience in the Stella platform
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: OBJECTIVES | FUNCTIONS The candidate will work on the development of novel approaches for clinical natural language processing specifically looking at: (a) the use of language models for coding multilingual
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factors: i) area of specialization in Conservation Sciences;; ii) experience in the characterisation of natural dyes by molecular fluorescence in the visible, UV-VIS Spectroscopy and high-performance liquid
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of organic synthesis, giving prevalence to candidates with experience in the preparation and application of hypervalent iodine reagents. Good proficiency of written and spoken English and availability to start
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contributing to the advancement of the project's objectives. The work plan aims to explore new methodologies to reduce the alcohol concentration of wine (task 3.1) and to produce more natural wines with natural
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university. Applicants must also speak English and, preferably, Portuguese. WORK PLAN: Assist in the development of the New Space Portugal project, including following work plan: Develop case studies, “Project
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Requirements Research FieldEconomics » MicroeconomicsEducation LevelPhD or equivalent LanguagesDANISHLevelMother Tongue LanguagesENGLISHLevelMother Tongue Internal Application form(s) needed 002