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Rui Oliveira

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Full Professor

Faculdade de Ciências da Universidade de Lisboa

Portugal

Research Interests

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Professors in Portugal Professors in Cell Biology Cell Biology professors in Portugal

Recent Grants

Grant: Close

Bio Innovation of a Circular Economy for Plastics

Open Date: 2020-01-01

Close Date:

Grant: Close

INOVATION IN SISTEMS AND SYNTHETIC BIOLOGY

Open Date: 2014-02-01

Close Date: 2014-07-31

Grant: Close

Produção de novos produtos de elevado valor acrescentado a partir de resíduos agro-industriais: Investigação através de ambientómica funcional

Open Date: 2013-07-01

Close Date: 2014-07-31

Grant: Close

Cell functional enviromics: unravelling the function of environmental factors

Open Date: 2013-05-01

Close Date: 2015-08-31

Grant: Close

Ambientómica funcional celular: identificação da função dos factores ambientais

Open Date: 2013-05-01

Close Date: 2015-08-31

Articles (13)

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2025

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2023

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2023

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2022

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2022

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2022

Collaborators (4)

Jakob Kjøbsted Huusom

Technical University of Denmark

DENMARK

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Sara Badenes

Head of the Innovation Center

A4F-Algafuel (Portugal)

PORTUGAL

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José Pinto

Universidade Nova de Lisboa

PORTUGAL

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Xiaodong Liang

Associate Professor

Technical University of Denmark

DENMARK

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Rui Oliveira

Research Interests

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Recent Grants

Articles (13)

A Review of Intelligent Modeling for Microalgae Systems: Integrating Data Mining, Machine Learning, and Hybrid Approaches

Incorporating first-principles information into hybrid modeling structures

A Physics-Informed Neural Network (PINN) framework for generic bioreactor modelling

HYBpy: A web-based framework for hybrid modeling of biological systems

Deep hybrid modeling of a HEK293 process: Combining long short‐term memory networks with first principles equations

Hybrid Deep Modeling of a GS115 (Mut+) <i>Pichia pastoris</i> Culture with State–Space Reduction

A General Hybrid Modeling Framework for Systems Biology Applications: Combining Mechanistic Knowledge with Deep Neural Networks under the SBML Standard

A General SBML Compatible Hybrid Modeling Framework: Combining Biochemical Mechanisms with Deep Neural Networks for Systems Biology Applications

SBML2HYB: a Python interface for SBML compatible hybrid modeling

From Shallow to Deep Bioprocess Hybrid Modeling: Advances and Future Perspectives

Genome-scale modeling of Chinese hamster ovary cells by hybrid semi-parametric flux balance analysis

Application of Hybrid Models in Biopharmaceutical Manufacturing

A general deep hybrid model for bioreactor systems: Combining first principles with deep neural networks

Collaborators (4)

Jakob Kjøbsted Huusom

Sara Badenes

José Pinto

Xiaodong Liang

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