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-time control & optimization algorithms. Pilot demonstrations on partner radio telescope facilities such as APEX and the Sardinia Radio Telescope may be possible, depending on the interest of the PhD
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to shape the renewable energy management system by developing novel real-time control & optimization algorithms. Pilot demonstrations on partner radio telescope facilities such as APEX and the Sardinia Radio
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-based, scalable framework for representing structural specifications and domain knowledge across complex engineering and industrial systems. The lab maintains a wide academic network and collaborates
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. Sarcomas are a heterogenous group of mesenchymal soft tissue and bone cancers comprising 1% of adult malignancies. The emerging knowledge is that a combination of genetic and epigenetic events can drive the
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mathematical modelling tools. Excellent knowledge of programming languages such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in
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easily accessible. The PhD candidate will carry out a thorough review of the whole succession in the light of new knowledge about global and regional trends and events, including climate change
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large collections of fossils and rocks, and field exposures are well known and easily accessible. The PhD candidate will carry out a thorough review of the whole succession in the light of new knowledge
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knowledge is that a combination of genetic and epigenetic events can drive the onset and progression of tumours. Changes in epigenetic modifications and protein associations are very influential in regulation
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Sufficient Statistics” . This position is placed at Integreat - Norwegian Centre for Knowledge-driven Machine Learning is a Centre of Excellence, funded by the Research Council of Norway. Researchers at
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Grant for Early Career Scientists and is built on our ongoing Integreat project “Embedded Sufficient Statistics” . This position is placed at Integreat - Norwegian Centre for Knowledge-driven Machine