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Field
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of the following areas: Optics and microscopy, including experimental setup design and assay development Data analysis and programming, preferably using MATLAB or Python Experience in microfluidics and
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experience with finite element or finite difference modelling and its underlying fundamentals. The student should be able to program in MATALB or Python (MATLAB preferred as lead supervisor is more familiar
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C++). Familiarity with robotics software frameworks such as ROS, MATLAB/Simulink, and simulation environments like Gazebo or Unity. Experience developing software for real-time sensor processing
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) scientific studies Experience with relevant field data collection methods (e.g. chamber- or eddy covariance-based C flux measurements, biodiversity sampling methods) Computer programming skills (e.g. Matlab, R
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processing; experience with array processing or inverse problems is beneficial. Proficiency in programming languages such as C, C++, Python, or Julia/Matlab is advantageous. Background in computational
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and methodological skills. Candidates will handle data preprocessing and analysis, ideally with proficiency in Python, R, or MATLAB. Collaboration within a multidisciplinary team is essential, as both
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, or energy storage technologies Proficiency in programming languages such as Python, MATLAB, or similar tools A research-oriented attitude Ability to work in an interdisciplinary team and interested in
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-Law No. 123/2019, of 28 August); Regulation for Research Studentships and Fellowships of the Foundation for Science and Technology (Regulation No. 950/2019) published in the Diário da República, 2nd
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August, in its current wording (amended by Decree-Law No. 123/2019, of 28 August); Regulation for Research Studentships and Fellowships of the Foundation for Science and Technology (Regulation No. 950/2019
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of degree equivalency. Preferred Qualifications: Background in medical imaging, imaging simulation, and machine learning. Programming in Python, MATLAB, C, CUDA. Other Requirements: This position is hybrid