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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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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 Telescope may
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SUMOylation, transcription factors, or chromatin dynamics. Expertise in machine learning or statistical modeling for biological data. Knowledge of enhancer-promoter interactions and 3D genome organization. All
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dynamics. Expertise in machine learning or statistical modeling for biological data. Knowledge of enhancer-promoter interactions and 3D genome organization. All candidates and projects will have to undergo a
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: https://www.imfid.org) - a logic-based, scalable framework for representing structural specifications and domain knowledge across complex engineering and industrial systems. The lab maintains a wide
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, machine-readable knowledge artifact that captures heterogeneous information across the entire product lifecycle to support sustainable decision-making. Functioning as a data backbone for the circular
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models, aiming to reduce CO₂ emissions and improve resource efficiency through enhanced data-driven lifecycle management. A DPP can be viewed as a structured, machine-readable knowledge artifact
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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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seascapes as objects of knowledge. The person filling in this position will investigate the impact climatic and/or geographic resources had on art during the early modern period with a special focus on the
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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 about global and regional trends and events, including climate