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Would you like to be part of our team and help shape the future of product- and production development? If so, you might be the one we’re looking for. The department of Product Development
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We are seeking a highly motivated and talented postdoctoral researcher to join our team in developing novel organic bioelectronic electrodes for interfacing with the nervous system. This position is
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comparison. Thus, this project will deliver an evidence-based decision support to forest stakeholders and policy makers. The postdoctoral candidate will join the research group of Prof. Matthias Peichl
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support to forest stakeholders and policy makers. The postdoctoral candidate will join the research group of Prof. Matthias Peichl, Department of Forest Ecology and Management, SLU. During the project
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Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC
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funded by a EU programme Reference Number 304--1-14162 Is the Job related to staff position within a Research Infrastructure? No Offer Description Join a research team developing state-of-the-art open
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in their computation. We want to understand the fundamental principles that permit us to build privacy-aware AI systems, and develop algorithms for this purpose. The group collaborates with several
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under supervision. Specifically, the postdoc will develop and conduct chemical and/or metabolomic analyses of infected and healthy RBCs, as well as behavioural experiments with mosquitoes. Other duties
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sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future
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, design and characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high