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candidate will contribute to research projects that involve method development or applications related to quantum computing. Additionally, the successful candidate is expected to: Participate in international
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& administration, which means: Development and operation of an original research program focused on environmental aspects of bioinorganic chemistry. Collaboration with team members to strengthen the research mission
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research on a range of topics related to agricultural development in sub-Saharan Africa (SSA) and South Asia (SA), including small-scale producers, gender, nutrition, climate, food system risks and digital
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The development of critical thinking (CT) in response to misinformation, particularly
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, bioengineering, biomedical sciences, oral biology, or related fields Strong track record in biofilm research and/or in vitro model development (e.g., flow systems, co-cultures, surface/material interactions
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discipline Experience conducting research projects, including data collection and analysis Familiarity with microscopy, high-resolution imaging, assay development, molecular biology or protein purification Strong data
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at the interface between AI method development and large-scale research facilities. Essential Duties and Responsibilities Develop and implement AI-enabled laboratory-workflows for automated crystallization screening
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nitrogen-vacancy (NV) diamond quantum magnetometry for high-energy physics experiments. The HEP Division performs cutting-edge research leveraging advanced detector development, high-performance computing
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likely. The postdoc will provide resources, and assist in the development of deliverables for the projects. This position will be expected to participate in project leadership and management, writing
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expensive) drugs. DESCRIPTION: This project proposes the development of an AI-driven computational pathology framework to discover biomarkers from large-scale datasets of cancer patients with clinical