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including, quantitative systems biology, development of advanced methods for integration of large-scale omics datasets, and application of machine learning and statistical modelling for decipher cell and
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8 Oct 2025 Job Information Organisation/Company INESC ID Research Field Engineering » Biomedical engineering Engineering » Computer engineering Researcher Profile First Stage Researcher (R1
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) Proficiency in scientific programming tools and development of machine learning algorithms applied to biomedical data (preferably Python and MATLAB); e) Skills in managing computer equipment for advanced
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the field of the seismic behaviour of masonry structures and machine learning; Have a good proficiency of the English language. At the time of the respective hiring, candidates must prove that
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of establishing relationships between signal sources and predicting commands; 6. Design of machine learning and adaptive models that ensure the continuous evolution of the system, increasing the autonomy and
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of the Recovery and Resilience Program, through the Foundation for Science and Technology - FCT, under the following conditions: Scientific Area: Computer Engineering, Biomedical Engineering (Medical Informatics
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developing statistical and machine learning approaches for the integration of cancer multi-omics data and the analysis of CRISPR-based screens. Responsibilities include designing bioinformatics workflows
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(spoken and written), academic excellence, autonomy, curiosity, and attention to detail. Resumes demonstrating knowledge of programming in Python and/or Matlab; computer vision, image processing, learning
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special emphasis on their scientific output over the last 5 (five) years in emerging areas of digitalization in agriculture, including data analysis, machine learning, programming languages (R, Python
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; b. Indexed publications in the field of this call. b) Preferential factors: a. Knowledge in Artificial Intelligence and Machine Learning. Workplan and objectives to be achieved: The BIPD