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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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computer vision. The dominant approach is based on deep neural networks applied to RGB images. These models have disadvantages such as: a) the need of large quantities of annotated data, which requires
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the impact of individual and collective cognition on ant foraging. The successful candidate will conduct behavioral experiments, implement tracking techniques, and collaborate with computer scientists and
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calculations in quantum field theory, in particular conformal field theory. Ability to write code for computer simulations of quantum many-body systems (in particular methods of exact diagonalization and density
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related field is required. Previous experience in psychophysics and experimental psychology is desirable. Strong computer skills are essential, and proficiency in programming (e.g. Python or MATLAB) is an
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equipped for cell culture (L2 and L3 for virus production), and for molecular biology (benchtop equipment, robotic pipettors, PCR machines, etc.). Each person has his/her own desk and computer. Where to
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experiment as part of the nuPlato project, a partnership between LPC phys-icists and GREYC computer vision experts. As a postdoctoral researcher, you'll be at the forefront of applying AI to fundamental
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- Resolution of the numerical instabilities identified by modifying the algorithms using a combination of computer/mathematical/physical solutions - Repetition of the sequence Identification/resolution
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and meta-evaluate with case feedback Job specifications: The contract is 35H. Proficiency in computer languages: Python, Pytorch; proficiency in collaborative tools: Git Fluency in spoken, read and
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6554 LETG-Rennes (http://letg.cnrs.fr/ ) Work environment: an office and a computer at disposal. This position is located in a sector covered by the protection of scientific and technical potential (PPST