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Field
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and scripting languages (e.g. python) is a plus. The start date of the studentships is 1 October 2026. For project 1, applications from students from the UK, EU and overseas are welcome. The studentship
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theories from different social sciences. Synthesizing and extending the knowledge on socio-behavioral factors affecting such long-term (economic) decisions and people’s views on a fair distribution of
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: Developing and applying simulation and optimization models to analyze energy flows, operational strategies and design decisions in a multi-energy system (power, gas, heat) Investigating different community
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ultrafast laser pulses on femtosecond timescales. Combining nanofabrication, electromagnetic simulation, and pump–probe laser measurements, the project will explore how 3D geometry, and different materials
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for motivated individuals skilled in computer science/computational biology/bioinformatics with the desire to make a difference for people suffering from mental health problems. A Masters Degree in (Bio
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) develop novel performance metrics combining accuracy and explainability, to be tested across different AI model types; (2) devise new algorithms for selecting models optimised for holistic performance
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2D convolutional neural networks in Python. This is a part-time position (5 hours/week) funded until 31/03/2026 with a possibility of extension and is suitable for a Ph.D. student with relevant
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on the topic (2,4). Training and Development Training will maximise future employability in academia and industry: Programming and geospatial data analysis using Python/R. Machine/deep learning techniques
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, preferably with a background in behavioral neuroscience or signal processing (especially of bioacoustics data) - Programming experience (e.g. Python, R, Matlab, etc.) - Strong communication and
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of applied mathematical modelling, in particular numerical solution of partial differential equations Experience with one or more relevant programming languages/tools (Python, C, Matlab, OpenFOAM etc.) PLEASE