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those made from gene genetic interactions. gRNA design in this context a requires incorporating such networks into the design both concerning on- and off-targets. Project includes collaborators Prof Lars
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | about 18 hours ago
is an internationally active research institute, funded by federal and state governments and member of the Leibniz Association. Starting on September 1, 2024 our Department Survey Design & Methodology
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become Canada’s leading comprehensive innovation university. Integral to this path is the placement of equity, diversity and inclusion as fundamental to our institutional culture. Our current academic plan
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) This project will design and evaluate methods for automatically constructing process models that dictate the optimal execution of future business processes, aiming to enhance their efficiency and effectiveness
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/2022/nwo-call-mission-driven-innovation-systems ). Part of a broader consortium, led by VU Amsterdam and involving four universities and many societal stakeholders, this project is part of a work package
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of the position is to create prediction methods for proactive planning of future robot actions and to design robot acting mechanisms for adaptive response ranging from quick and intuitive to slower well-reasoned
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Fellow will work on psychology-inspired computing for robot assistants. That is, the objective of the position is to create prediction methods for proactive planning of future robot actions and to design
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modulated by climate change drivers (Ref. HORIZON-CL6-2023-ZEROPOLLUTION-01-101134929), financed by the European Union´s Horizon Europe research & innovation programme under the Grant Agreement No. 101134929
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digital twin solutions that work in practice and that allow us to argue for correctness. The design of the digital twin should allow us to express the correctness of its underlying architecture but also to
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of hypothetical experiments (so-called “what-if” scenarios). The project aims to develop digital twin solutions that work in practice and that allow us to argue for correctness. The design of the digital twin