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project is to develop a series of surrogate models focusing notably on Physics-Informed Neural Networks to emulate the process of sediment deposition, diagenesis, and potentially fracturing, working closely
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to supervision of MSc and PhD students, and participate in departmental seminars and collaborative meetings. You will also be encouraged to attend and present at national and international conferences, with
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carry out co-mentoring of bachelor, master, and PhD students. The start of the contract is September 1st, 2025 or later. The exact starting date is negotiable. The employment period is 4 years from
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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We are seeking a well organised and self-motivated researcher to work on the Faraday Institution funded SOLBAT and/or LiSTAR projects, reporting to Prof. Mauro Pasta. Applicants must hold PhD/DPhil
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, you will help guide junior team members, contribute ideas for new research directions, and support occasional public engagement activities. It is essential that you hold a PhD/DPhil (or close
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completion of a PhD in Psychology or a relevant area along with experience of collecting data from research participants. With excellent data analytic skills, you will be familiar with SPSS and at least one
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We are seeking a well organised and self-motivated researcher to work on the Faraday Institution funded SOLBAT and/or LiSTAR projects, reporting to Prof. Mauro Pasta. Applicants must hold PhD/DPhil
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. Experience with CRISPR gene editing, microinjection and/or animal work would also be an advantage. Preferred start date October 2025 - the post is available until September 2029. You should have a PhD or
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completion of a PhD in Psychology or a relevant area along with experience of collecting data from research participants. With excellent data analytic skills, you will be familiar with SPSS and at least one