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ideas. To develop algorithms, machine learning models, Python modules, demonstrators and training pipelines for publication and translation into commercial products that can be widely and reliably adopted
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management and programming languages such as R and Python. Level B Essential Criteria: A PhD in entomology or a related discipline, with at least 3 years of postdoctoral experience. A strong track record in
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statistical programming languages such as R and Python, and experience with Bayesian modelling and time series analysis. A track record of research outputs, including publications or presentations at national
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. Practical experience in scripting languages, for example R, python or bash Proven work experience in bioinformatics, statistics and/or data science relevant to proteomics and protein analysis, including using
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-object tracking in challenging conditions such as occlusions, crowded scenes, and object re-identification. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and Python ML libraries (e.g
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, computer vision and machine learning, particularly object detection and tracking. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and Python ML libraries (e.g., NumPy, OpenCV, scikit
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a diverse array of exciting technologies such as: BluePrism (Robotic Process Automation) Python-based automation Google Cloud Microsoft Azure As you grow and gain valuable experience, you'll have the
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C++ and Python and related tools, and data visualization in Python and Excel experience in Azure Devops for managing model development experience with development of complex simulation modelling
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modelling tools (such as erwin), data pipeline technologies (such as Kubernetes, Apache Airflow, Python, Alteryx, etc.), database platforms (such as Oracle, mySQL, SQLServer, etc.), or application integration
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in any of them is desirable, applied physics and mechanics laboratory experiments motion control and data acquisition machine Learning coding using Python writing using Latex. Sponsorship / work rights