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Field
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machine learning and statistical analyses. Proficiency with Python and relevant libraries. Prior experience with genomic data modeling. Interest or experience working in neuroscience domain applications
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areas: EEG, multimodal MRI, or imaging genetics, documented through peer-reviewed publications excellent programming skills (e.g. Python, MATLAB, R) experience working with distributed computing resources
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Overview: We are seeking a part-time researcher (two days a week) to contribute to an integrated aircraft design framework focused on recyclability and remanufacturing. You will extend our Python-based
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required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch) are essential. Additional Qualifications
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. You will extend our Python-based aircraft design tool, enabling modular designs that incorporate recycled materials and components. Working closely with our industry partners, your work will support
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data integration. Knowledge of python and R is essential. This is a full time (35 hours per week), and you will be offered a fixed term contract until 30 June 2027. About You To be successful in
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. Preferred Knowledge, Skills, and Abilities: Experience of method development in quantum chemistry. Demonstrable coding experience for example with python, fortran, C++ or others. Experience in modeling
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, environmental sciences, geoinformatics, or a related discipline. Proficiency in advanced learning techniques and statistical modeling. Strong programming skills in languages like Python or R. Professional
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. Knowledge of Python, C++, Matlab or ROS would be of benefit. The project involves extensive fieldwork, and candidates should enjoy working outdoors. How to apply Please submit a CV and cover letter with your
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models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly