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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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domains. The successful candidate will: Develop algorithms to model team performance based on interpersonal (e.g., monitoring, communication) and cognitive (e.g., shared mental models) processes. Design an
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the impact on the predictive quality of a given model that is expected by retraining/fine-tuning it using additional datasets, as well as on predicting the expected cost/latency of such retraining/fine-tuning
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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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. Responsibilities include designing bioinformatics workflows, processing molecular data, training machine learning models, biological interpretation, and working in a collaborative international environment. BINDING
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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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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
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: Investigation of current trends in parallel architectures, focusing on programmability as well as the characterization and modeling of their general-purpose capabilities; Investigation of AI hardware trends, with