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for multimodal inferences, combining computer-vision, environmental parameter measures and DNA data. Your role will be central in data acquisition and foremost machine-learning models creation. You will
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: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
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2040 programme. After reaching scientific gain in laser-driven ICF experiments at the National Ignition Facility, there is a global endeavour to turn the scientific milestone into practical application
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] Subject Area: Representation Theory Appl Deadline: 2025/07/31 11:59PM (posted 2025/07/01) Position Description: Position Description The TUM School of Computation, Information and Technology at the Technical
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19.05.2025 Application deadline: 31.07.2025 The group “Physics of molecular and biological materials” at the University of Tübingen is searching for Post-doctoral researcher in Physics (m/f/d, E13
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well as access to state-of-the-art scientific facilities. You can also have a virtual tour of our campus . THE POSITION We invite you to apply for a Postdoctoral Position on Multiscale Physics in the Climate
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parking) 30 days of vacation Participation in the benefits program for employees („Corporate Benefits“) The advertised position is available for 3 years. We look forward to welcoming a team player with high
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degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural language processing (NLP), and fine-tuning techniques
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to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Heliophysics etc.. You will be involved in all phases of this process. You will
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science