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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
. The Research Atmospheric clouds and aerosols are major sources of uncertainty in weather and climate prediction due to their complex, multi-scale nature — from nanometers to hundreds of kilometers. Turbulence
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are also developing novel machine learning methods to improve risk gene prediction and variant interpretation. This role will focus on the analysis of large-scale human genetics, scRNAseq, and proteomics
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | about 2 months ago
interaction for chemistry and materials. Overall, we aim to unravel and apply fundamental physical principles to create and control novel states of matter with light. For the ERC Synergy project “Unravelling
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 2 days ago
Data Exchange Standard (ADES); (2) modernizing short-term impact monitoring through adaptive search algorithms for systematic ranging (Scout); and (3) refining long-term impact prediction via improved
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previously treatable with antimicrobials become untreatable – is predicted to overtake cancer as the leading cause of death within the next two decades. The role that humans and livestock components play in
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precision medicine and predict outcomes. The Post Doc will work collaboratively with other research scientists with the same interest and background. Among the key duties of this position are the following
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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based on performance and available support. Environment and Opportunities The lab focuses on developing AI methods to improve patient diagnosis, prognosis, treatment response prediction, and treatment
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Intelligence (AI) approaches to quality control of coastal water level observations in a robust and time efficient way. The position is for one year, and it is renewable for an additional 9 months based
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, or related fields. Candidates are expected to have a demonstrable interest in bio-inspired neural networks and probabilistic approaches, and to have an excellent command of English. Needed