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variants on human traits and single-cell readouts. Our research group is pioneering computational methods for deciphering molecular variation across individuals, space, and time. We have a track record in
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 22 days ago
black hole evolution, accreting compact objects, high energy transients and the hot phases of the interstellar, circum-galactic, and intergalactic media. Research programs should be mainly focused
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products (1D and 2D NMR, HRMS, other spectroscopic and computational methods) Experience in writing first author-publications, high publication track record in scientific journals and conference
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E13 Job Description The successful candidate will join an interdisciplinary team focused on applying bioinformatics to personalized oncology. The primary objective is to unravel molecular pathways
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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
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culturing, integrating multiple automated subsystems with image-based machine learning models. Our objective is to enable robotic decision-making through machine learning, paving the way for a standardized
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required. Very good English skills, both written and spoken, are also required. The successful applicant has a proven track record of excellent publications. Strong taxonomic knowledge in marine
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reliability of R-Mode, particularly under varying environmental conditions. Key objectives include understanding the physical processes that affect R-Mode signal propagation, quantifying the variability
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reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge
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areas is expected: numerical analysis, scientific computing, model reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming