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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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completed in parallel with the experimental work. The student will be provided with fully funded training on electrochemical characterisation technologies at the University of Leeds, the research partner
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collaborative investigation including teams with expertise in cell biology, molecular biology, biomedical engineering, clinical medicine and computational biology. The team aim to create a novel, targeted
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Center for Computational Neurosciences Berlin Medical Neurosciences International Graduate Programme Collaborative Research Center 1315 Collaborative Research Center/Transregio 384 Teaching language
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to obtain funding for PhD students. In parallel, applications to FRM and/or Pasteur-MD-PhD-PPU program will be also encouraged. Opportunities for Interdisciplinary Training: Depending on the candidate’s
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, i.e. ranging from Python/Julia/Matlab to the development of parallel computing frameworks based on the PETSc library using the c++ computing language. You know and have in-depth experience within finite
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advanced level may also be relevant for the position. - administration (e.g. course responsibility or program coordination) and development of the preparatory year, bachelor's and master's programs in
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the cerebral cortex. fUS ultrasound waves are similar to CUS but using novel image reconstruction techniques and parallel computing technologies reaching 10,000 frames per second, enables very sensitive mapping
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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | 3 months ago
the International Max Planck Research School for Evolutionary PhD, a well-established program with a vibrant research community and outstanding infrastructure. Project 1 - Genetic and adaptive architecture
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experience with mental health research is an advantage. Proficiency in executing computationally intensive analyses on high-performance computing systems, including job scheduling, parallel processing, and