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for passionate and highly motivated Teaching Faculty. The Undergraduate Division is seeking teaching faculty to teach an undergraduate course, Machines that Create, an introductory yet comprehensive overview
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methods for predicting the synthesisability of organic molecules Develop and apply informed machine learning methods to chemical problems If appointed at a higher spine point: To assist in the day-to-day
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Deep Learning, Neural Networks, and Machine Learning. Experience with popular deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). Strong commitment to teaching excellence and student-centered
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administration and organisation. We are looking for a/an Senior Scientist in Experimental Quantum Machine Learning 51 Faculty of Physics Startdate: 01.02.2026 | Working hours: 40 | Collective bargaining agreement
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We are seeking a talented and enthusiastic postdoctoral (or working towards a PhD) scientist with experience and a track record in machine learning, particularly for applications of deep learning
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(or working towards a PhD) scientist with experience and a track record in machine learning, particularly for applications of deep learning for medical imaging and/or molecular biomarker development, for a
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary CNC machining delivers high precision but is costly, rigid, and limited in adaptability. Robotic
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Adversarial machine learning - Identification and prevention of cyber-physical attacks on infrastructure (S3.5-MAC-Champneys) School of Mechanical, Aerospace and Civil Engineering PhD Research
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gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum cybersecurity applications? Can we scale-up multiphoton platforms by using integrated
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to Lancaster's high-performance computing facilities. Essential Requirements PhD in Machine Learning, Computer Science, Computational Neuroscience, or related field Demonstrable experience developing deep learning