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biomass fraction. The tasks include: DES design; DES preparation – The DES will be prepared by the most conventional heating and stirring method. The selected compounds are weighted and mixed in the right
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flow cytometry/cell sorting protocols. Design and develop specialized methods and/or techniques to provide protocols in cytometric procedures and assays in collaboration with users. · Operate and
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emulator of sea ice dynamics, trained using high-fidelity numerical simulations, (ii) variational data assimilation methods, and (iii) a simplified representation of physical processes in the atmospheric
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with a background in Biotechnology/Cognitive Psychology and Mental Health, who can demonstrate interest and knowledge on the topics of Cognitive Conflict, Mental Effort, and Emotions and on the methods
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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package on archetype generation and develop data integration pathways Contribute to estimating environmental exposures at archetype levels using computational methods like fluid dynamics, AI and ML
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will develop novel ligands for a validated drug target in acute myeloid leukemia. Building on our promising preliminary results, you will optimize and expand the hit discovery using computer-aided tools
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of analytical methods for the detection of contaminants in food products; • Proven professional experience in chromatographic techniques coupled with mass spectrometry; • Professional experience in
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currently lack reliable uncertainty estimates, limiting error detection and automation. The UMLFF project aims to develop next-generation MLFFs with built-in uncertainty predictions to enable safe, automated