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German Cancer Research Center (DKFZ) Heidelberg • | Heidelberg, Baden W rttemberg | Germany | about 10 hours ago
Heidelberg Teaching language English Languages Working language: English Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Additional information
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. Development of multimodal AI models that fuse data from multiple types of sensors to accurately model and predict wind turbine blade damage. Establish and develop data science pipelines for wind turbine blade
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hardware. Relevant programming experience developing, implementing, debugging, and maintaining applications with Python. Experience training ML models using large-scale and specialized hardware. Experience
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in applied research abroad for their outstanding scientific achievements. For more information please see the Fraunhofer-Bessel Research Award programme information. Programme information (PDF, 71 KB
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, for whom and why. Conduct multiple case study research adopting various qualitative and quantitative research methodologies. Build bridges between theory and VET education practice (back and forth) and
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units are united by an overriding concern for the organization of the human within its multiple environments: work, technology, nature, economy, civil association, the state, the law, and corporation
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, and transport sectors (RENEW) Strong skills in implementing convex, linear, and mixed-integer programming and modelling frameworks (JuMP, Pyomo, Yalmip, GAMS, etc) Experience of working with future
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sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental monitoring programs the National Forest Inventory
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studies. Proven experience preparing ethics applications and writing research reports Strong time management and organisational skills, with attention to detail, ability to manage multiple complex tasks