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preferably with data analysis and machine learning (e.g., Python, AI frameworks). You have strong analytical and problem-solving skills, with the ability to translate complex clinical processes into structured
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and fast optical modulators. - FPGA support to the team. - Sofware support to the team (Python, C++) Where to apply Website https://sede.uvigo.gal/public/catalog-detail/27660208 Requirements Research
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, machine learning (PINN, supervised learning) - Python/PyTorch programming - Autonomy, curiosity, and adaptability - Excellent writing skills Specific Requirements The doctoral student's host laboratory is
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. A masters degree in a neuroscience related discipline, experience with coding (e.g. Matlab, Python, R etc) and conducting human neuroscience experiments and analyses are desirable. If your first
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with fault detection, system reliability, or fault-mitigation techniques. Strong programming skills (C/C++, Python; hardware-description languages “e.g., HLS, VHDL” is a plus). Motivation to pursue a PhD
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REQUIREMENTS: Master’s degree in Physics, Biomedical Imaging, or a related field Strong interest in magnetic resonance, biomedical imaging and biophysical modelling Programming skills (C++, Matlab, Python
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, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Practical laboratory skills and an enthusiasm
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independent work and effective collaboration, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Participation
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statistical analyses using Stata and Python. Review relevant academic literature and summarize findings. Prepare tables, figures, and documentation for research papers and presentations. Support other research
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analysis procedures and computer tools for automated data acquisition/processing (Python/C++/Labview programming languages), Team player with excellent communication skills and collaborative working style