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Field
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dynamics and heat transfer research. Programming skills in Python and MATLAB, particularly in machine learning, data analysis, and image processing. Experience working in Linux environments. Ability
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perforation tests—using UC3M’s two-stage light-gas gun, high-speed imaging (up to 10 million fps), photon Doppler velocimetry, and optical pyrometry. These tests will be conducted at velocities up to 5 km/s
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communication skills and a collaborative mindset Full professional proficiency in English Good to have: Hands on experience with at least one paradigm for quantum optimization with quantum computing (QAOA
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. Machines must be equipped in-situ with smart sensors and supported by systems that can process such as images and time series, in real time. Machine learning and AI have become essential for driving
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, crop production and plant breeding. A core responsibility will be the rigorous processing, analysis, and interpretation of large and complex datasets and, in collaboration with the FEM research community
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18 Sep 2025 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Other Engineering » Biomedical engineering Engineering » Computer engineering
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the opportunity to contribute to collaborative efforts at the interface of data science, imaging, and materials research. You will strengthen the data science and machine learning activities of the IAS-9 with
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adipose tissue. In particular, we will study the role of different membrane receptors and their signaling pathways in the browning process. The various techniques used will include cell biology and genetic
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the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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transfer. We use complementary approaches including cryo-EM, biophysical methods and in vivo functional assays to study the protein machineries involved in this process. Join our young, ambitious, and