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Midlands Graduate School Doctoral Training Partnership | Warwick, England | United Kingdom | 1 day ago
identified. The project is collaborative and interdisciplinary, combining criminological, sociological, and data-analytic approaches. While the overall direction of the research is defined, the successful
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Infrastructure? No Offer Description Work group: IAS-6 - Theoretical Neuroscience Area of research: PHD Thesis Job description: Your Job: This PhD project bridges between classical analytical methods and modern AI
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for a highly motivated PhD candidate to join our world-leading research program in Earth System modelling and improving Earth System Modeling by better merging of measurement data and model simulations
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., MD, PhD, MPH, or related programs). The role is entry-level in scope and provides close mentorship and supervision while offering a steep learning curve. The anticipated term for this position is two
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Midlands Graduate School Doctoral Training Partnership | Birmingham, England | United Kingdom | 8 days ago
interviews, and social media data donation. Findings will inform interventions and policy, supporting mental health services and schools. This PhD offers impactful research addressing adolescent wellbeing
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/bmi.tvoed.entgelt Further information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at www.fz-juelich.de/en/careers/phd We welcome applications from people with
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, computer science, or a related field Proficiency in at least one programming language (Python, C++, …) Experience in neuroscience is an advantage Good analytical skills with a sound understanding of data evaluation
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19 Jan 2026 Job Information Organisation/Company Forschungszentrum Jülich Research Field All Researcher Profile First Stage Researcher (R1) Application Deadline 19 Jan 2038 - 03:14 (UTC) Country
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on computer vision, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills Very good programming (Python, C++) and computer (Linux, Windows) skills
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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