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fluid management, thermal management, fluid management (liquids and gases), imaging systems, image processing module. - Design and production of parts by 3D printing - Management of subcontracting: supply
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20 Mar 2025 Job Information Organisation/Company Grenoble INP - Institute of Engineering Department Engineering Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions
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Biological Atomic Force Microscopy (AFM) & Technology Development. This position is for a fixed-term of 1 to 1.5 years, starting on June 1, 2025. The successful candidate will contribute to cutting-edge
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particular skills on testing materials of civil engineering via triaxial, oedometric and simple-shear apparati are recommended. Basics of Digital Image Correlation techniques and competences in post-treatement
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neuroscience, biophysics, engineering, or related field. 2) Experience in one the following areas would be appreciated: in vivo electrophysiology, 2-photon imaging, optogenetics, microscopy. 3) Enthusiasm
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or equivalent Skills/Qualifications Your profile PhD in materials science, physics, mechanical engineering, or a related discipline, with a strong focus on additive manufacturing, neutron scattering, or imaging
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electroencephalography (LFP &Multi- Single Unit recordings), data processing, statistics Know-how: instrumentation, dissection, experimental design, signal and image processing Personal skills: rigor, curiosity
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antibody engineering, cell and brain imaging, animal models of disease, computational science supported by artificial intelligence (AI) and machine learning. The goal is to promote effective product
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morphogenesis in an integrated, multi-tissue context, addressing different scales -- from subcellular cytoskeletal processes to the whole organism. The candidate will benefit from exceptional access to cutting
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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