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models, whilst respecting the specific spatial structure induced by river networks. - Cleaning, structuring and analysing historical long-term monitoring data (approx. 200 sites). - Adaptation and
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 25 days ago
for Pore-C data Image analysis Programming in R and/or python Your profile We are looking for a motivated team player with strong communication skills and the desire to work in a dynamic environment
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The Earth and Environmental Science Area at Lawrence Berkeley National Laboratory welcomes applicants for a Postdoctoral Scholar in Integrated Hydrologic Modeling. About the position: You will
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the results. The Postdoctoral Associate will be responsible for summarizing the findings in the form of presentations and manuscripts. The Postdoctoral associate should have expertise in mouse models of human
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heat loss. Common thermal insulation materials are highly porous and contain open or closed pores filled with gas. In 2021, only 10% of insulation materials were derived from renewable resources. Plant
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experiments, observations of natural earthquakes and numerical modelling to develop new insights into earthquake nucleation. The successful PDRA applicant will lead and contribute to laboratory experiments
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algorithms and neural network models, drawing on probability, partial differential equations, large deviations, stochastic analysis, optimisation and machine learning. The successful candidate will contribute
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Fabra in Spain, Prof. Gustav Eje Henter at KTH Royal Institute of Technology in Sweden. The collaboration network has a strong background in speech and audio synthesis, deep generative models, and
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materials, and will employ small-angle X-ray and neutron scattering to probe the pore microstructure and morphological characteristics of the materials. Researchers with prior experience using molecular
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reproducible research. Relevant expertise may include NLP, large language models, computational social science, social-network analysis, causal inference, survey or behavioral experiments, recommender systems