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and ability to work both independently and collaboratively Experience with deep learning frameworks, such as Tensorflow or Pytorch is advantageous Experience in numerical methods for partial
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its various branch offices) is available at www.fz-juelich.de/en/careers/phd We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation
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, or machine-learning frameworks is an asset Strong analytical skills with a solid understanding of data evaluation, modeling, and interpretation of complex datasets Ability to work independently as
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branch offices) is available at https://www.fz-juelich.de/en/careers/phd The contract will be with Forschungszentrum Jülich, but the daily place of work will be at University of Cologne in the group
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to accelerate solving AC power flow (AC-PF) computations, potentially facilitating real‑time contingency analysis, rapid design‑space exploration, and on‑line operational optimization of power systems
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++, …) Experience in neuroscience is an advantage Good analytical skills with a sound understanding of data evaluation. Good organisational skills and ability to work systematically, independently and collaboratively
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++, …) Experience in neuroscience is an advantage Good analytical skills with a sound understanding of data evaluation Good organisational skills and ability to work systematically, independently and collaboratively
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specialist theoretical or practical knowledge in the subject. It is expected that the successful candidate will have evidence of research-based study towards a postgraduate qualification, such as a PhD. A2
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Midlands Graduate School Doctoral Training Partnership | Birmingham, England | United Kingdom | 3 months ago
The Midlands Graduate School is an accredited Economic and Social Research Council (ESRC) Doctoral Training Partnership (DTP). One of 15 such partnerships in the UK, the Midlands Graduate School is
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contribution to the Overseas fee. The successful candidate would commence study in September 2026. Who can apply? This award is open to new doctoral applicants and current internal year 1 doctoral students