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, processing molecular data, training models, and working in a collaborative international environment. BINDING LEGISLATION Law 40/2004 of 18th of August (Scientific Research Fellow Status) in its current
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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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) the statistical investigation of understudied molecular markers and pharmacological covariates to enhance and complement the first objective. BINDING LEGISLATION Law 40/2004 of 18th of August (Scientific Research
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of the Project GROW-LC - I3AC003101, supported by INESC-ID, is now available under the following conditions: OBJECTIVES | FUNCTIONS The main objective is to develop a model capable of performing a statistical
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activity since COVID-19 with a focus on descriptive models to capture shifts in blood supply dynamics for new insights, as well as predictive models for context-aware forecasting to guide tactical and
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demand for elastic and scalable cloud resources keeps growing, as evidenced by the emergence of popular cloud computing models such as Serverless. Since this demand cannot be met with existing
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the ability of existing vision and language models to reason using language and visual inputs. Particular attention will be given to studying approaches to reasoning in continuous latent spaces and to the issue
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information to be extracted, the system should generate an XQuery program to perform the extraction. We will leverage Large Language Models and explore various prompting strategies to determine the most
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implement, scenarios of human-robot interaction using Large Language Models to engage in conversation with victims and first-responders. BINDING LEGISLATION Law 40/2004 of 18th of August (Scientific Research