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Field
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in Python and relevant research toolchains for machine learning, image processing, and reproducible analysis · • Experience with data governance, ethics, secure health data environments
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a PhD in Physical Sciences or a closely related field, and you will have a background in crystallisation and solid state characterisation. Knowledge of databases, and python coding is a must. The key
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experience working with scientific databases Experience with ImageJ / Jupiter / Python coding and knowledge of python, R, and java computer languages is desirable Computational pipeline development experience
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qualification; (b) have basic understanding of blockchain systems and smart contracts with Ethereum preferred; (c) have programming proficiency in at least one language such as Python or C/C++; and (d) have the
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practice (e.g., Python/MATLAB/C++ and/or established modelling platforms). Familiarity with asymptotic and multiscale mathematical analysis methods to ground proof numerical simulations Strong communication
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acquisition, calibration, uncertainty/rigour and noise control). Strong signal processing skills (e.g., using Python and/or MATLAB). Ability to work effectively in an interdisciplinary team and communicate
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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
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, bioinstrumentation, or embedded systems Programming experience (e.g., MATLAB, Python, or similar for data acquisition/analysis) Familiarity with surgical techniques or willingness to be trained in rodent survival
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in dynamical systems modeling (ODEs) and machine learning and very strong programming skills (Java, Python). A background in evolutionary genomics research is a strong plus, as is previous experience
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programming language (Python or R) is essential. A sound knowledge of soil microbiology and/or plant genomics, and an interest in sustainable agriculture, would be advantageous. About Us As a specialist