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You will engage in cutting-edge translational research that develops computational models for assessing cardiac biomechanics and for predicting outcomes in cardiac diseases. This includes (1) a
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comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, campus facilities and flexible
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responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and execute methods for characterizing and linking the texture and
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in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Computer Science at Oxford is renowned for pioneering research and
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experience in the field of traffic and transport modelling is an advantage. Knowledge of Finnish is not required. Applicants must fulfil the eligibility and admission criteria for Aalto’s Doctoral Programme in
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are among the largest population surveys of sexual behaviour and health in the world. Data from the surveys underpin UK sexual health policies and programmes. You can read more about the Natsal surveys here
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Applications are invited for a part-time (0.8fte, however 0.5fte will be considered) Research Assistant to support a programme of work at the intersection of AI, ethics, creativity, and young
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POSTDOCTORAL RESEARCH ASSOCIATE MODELLING VECTOR (TICK) ECOLOGY AND TICK-BORNE PATHOGEN TRANSMISSION
We are looking for a Postdoctoral Scientist with experience in epidemiological and/or population modelling to join our team. You will develop recommendations for sustainable vector and vector-borne
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geopolitical dimensions of Space Domain Awareness (SDA) as well as deliver co-developed publications and knowledge dissemination events. The project is led by Dr Bleddyn Bowen at the Space Research Centre (SPARC
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energy system . Your focus will be to explore (computationally) the most promising processes to form hydrocarbon blends from hydrogen and CO2. You will develop models of those processes and use them