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professional groups work hand in hand to provide our patients with optimal treatment. Postdoctoral Fellow / PhD (m/f/d) in Cancer Genomics and Oncogenic Signalling Full- or part-time | temporary (12 month
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and optimizing the execution User support in the field of large-scale AI Diving deep into technical aspects of efficiency, parallelization, and benchmarking Engaging in national and international ML/DL
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offers within the Stellarator Heating and Optimization division (E3) a position for a Postdoc (m/f/d) for pellet injector Job Code: gw25/016 Full time Limited to operate the pellet injector and improve its
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work together to find solutions that optimally promote their abilities. The same applies if they do not meet all the profile requirements due to a disability. Appointment, remuneration and social
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optimal working conditions. Fellows live rent-free in comfortable apartments located a short tram ride from CAIS. Fellows are members of the vibrant interdisciplinary research community at CAIS and of
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Postdoc – Scientific lead of a joint research project in the field of Direct Air Capture and Storage
carried out using the institute’s FINE model framework https://github.com/FZJ-IEK3-VSA/FINE, in which detailed optimization models for potential analyses and the design of DACS plants are created. In
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Implementation, further development and adaptation of AI models and research prototypes for the annotation and scoring of text data, in particular for the optimization of AI-supported teaching and learning in
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, materials optimization, and microwave control are highly preferred qualifications Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be able
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on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization
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should enable the corresponding production processes and environments to be automatically initialized, processing areas to be generated and the optimal processing tools and their alignment to be assigned