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pathology to resolve single cell heterogeneity and identify subtle cellular differences in cancers. The method is used to identify cancer clones in melanoma cases and support clinical decisions with deep
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linear algebra computations, building software for scientific applications using GPUs (Graphics Processing Unit), multi-threading and parallelism, numerical discretization methods (finite differences
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: to design GaN power components with their integrated functionalities. In close collaboration with the project consortium, the different devices will be studied using 1D and 2D finite element analyzes (e.g
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, computational biologists, developers, PhD students and researchers with different backgrounds. We always aim for an open and creative environment. The research group is based at the Center of Hematology and
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contribute to the preparation of manuscripts. Our research focuses on uncovering the proximate mechanisms underlying evolutionary changes in developmental and behavioural processes in nematodes. Much of our
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 3 months ago
of subgrid models in simulations, in particular for feedback processes Creation of new reference cosmological simulation models of galaxy formation Quantification of modelling uncertainties in simulation
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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | 3 months ago
theoretical models and computer simulations. Adaptation of complex traits is assumed to occur through subtle frequency changes at many loci following a shift in the trait optimum, i.e. polygenic adaptation
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source areas. With the shifting focus of policy from deposition to emissions (target management), a better understanding of the processes in source areas has become crucial. Moreover, understanding what
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
least two different crop species in the same field), offers major agronomic potential. However, their implementation is still based on limited knowledge. As the production of experimental references is
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based