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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 6 days ago
execution of cognitive behavioral tasks; - Acquisition and analysis of neural signals obtained through either in vivo eletrophysiological or neuroimaging methods; - Computer programming for data analysis
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, in addition to, optimisation of data processing and statistical analysis pipelines and writing of custom MATLAB scripts for signal analysis. Prior experience in neuroimaging and/or electrophysiology
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investigating the new pathways and targets in diabetes/obesity and cancer. The lab uses genetically engineered mouse models and molecular pharmacology tools to identify novel signaling pathways to develop new
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signalling, and therapeutic innovation. You'll lead independent and collaborative projects that investigate neural regulation of metabolism, leveraging cutting-edge technologies like in vivo microdialysis and
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 27 days ago
26 Nov 2025 Job Information Organisation/Company Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) Research Field Engineering » Biomedical engineering Researcher Profile
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genomics. Leverage a background in biochemistry and molecular biology, emphasizing signal transduction, cancer cell biology, cell cycle, or DNA repair. Collaborate with the Principal Investigator (PI
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11 Dec 2025 Job Information Organisation/Company University of Minho Department CMEMS - Dept. of Industrial Electronic Research Field Engineering » Biomedical engineering Researcher Profile First
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, the participant will gain experience in: Developing (if necessary) and maintaining subject matter expertise on issues relevant to biomedical science and public health policy in order to provide review
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Python for scientific computing – experience with data analysis and basic signal processing – foundations in machine learning and interest in developing advanced AI models – familiarity with Linux
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domain in the design of deep learning algorithms for cardiovascular disease detection. 4. REQUIRED PROFILE: Admission requirements: Master’s degree in Biomedical Engineering, Computer Engineering