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Field
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characterization of interface deformation mechanisms, including advanced SEM and TEM methods Finite Element Modeling to design and optimize micromechanical testing geometries Timely dissemination of research
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Centre, the Neutron-SimLab or various physicochemical characterization methods and workshops. The opportunity to help shape a new department. Access to the infrastructure of the Institute
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evaluation methods for vision models Design metrics to compare neural and behavioral data with computational predictions Collaborate with CRC groups on open, reproducible standards for model evaluation Mentor
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, or similar disciplines Graduate students expecting to receive their PhD within six months can also apply Experience in the advanced analysis of genetic or proteomic data Interest in learning methods
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background in Statistical Mechanics and to mostly focus on analytical work and the development of novel quantitative methods for active matter, and to a lesser extent, on computer simulations of active fluids
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environment in the fields of science, technology and administration as well as for the education of highly qualified young scientists. The computational imaging group at DESY is concerned with the development
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institutions, and a research and development provider for numerous companies throughout the world. The INM is a member of the Leibniz Association and has about 250 employees. The INM research group
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or related fields Expertise in advanced neurofunctional assessments and methods (e.g., computer vision, bioacoustics, machine learning/AI, neuroimaging, eye-tracking, multimodal data fusion) Excellent
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consortium SynThera funded by the Carl Zeiss Foundation (www.synthera.eu/ ). We are seeking an excellent and enthusiastic post-doctoral researcher with a strong interest in computational microbiome research
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theoretical and practical experience with machine learning methods, especially for training of machine learning potentials - development and utilization of ab initio electronic-structure methodology - previous