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Midlands Graduate School Doctoral Training Partnership | Warwick, England | United Kingdom | 21 days ago
have lasting effects on education, training, and employment outcomes, and what enables recovery or resilience? The PhD candidate will be expected to work with large-scale longitudinal and administrative
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academic and pastoral support to students will be a core component of the role. About You You will hold a PhD in biomedical sciences relevant to translational or experimental medicine, alongside a
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at: www.fz-juelich.de/gp/Careers_Docs Further information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd We
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated
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Midlands Graduate School Doctoral Training Partnership; | Loughborough, England | United Kingdom | 3 months ago
for teachers. The project builds on Numeralis, an adaptive screening instrument comprising cognitive and mathematics tasks. The project combines secondary data analysis, large-scale pupil screening
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Posting Title Graduate PhD Student Intern (Summer) – Mathematical Optimization . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working at NLR NLR is located
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Midlands Graduate School Doctoral Training Partnership; | Birmingham, England | United Kingdom | 3 months ago
industrial policy. Evidence will be generated using firm-level data and ownership information on UK multinationals and their subsidiaries. The successful candidate will contribute to a growing field with
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Infrastructure? No Offer Description Work group: IBG-4 - Bioinformatik Area of research: PHD Thesis Job description: Your Job: Develop methods and workflows to construct robust co-regulation networks from large
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network approaches for stress prediction in arterial walls and plaque. Another part of the project is exploring the use of large language models to support neural network design and data preprocessing