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Master/engineer degree in computer science, applied mathematics, data science with background in image processing, imaging inverse problems, deep learning and optimisation. Good coding skills for numerical
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to the iBV state-of-the-art technology platforms, including microscopy, cytometry, histology, bioinformatics, synthetic biology and animal facility infrastructures. He/she will be strongly supported by the iBV
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the supervision of CNRS Terre & Univers, IRD, Université Grenoble Alpes (UGA), Grenoble-INP and INRAE. It employs around 330 people, including 190 permanent members (researchers, associate and full professors
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their neural implementation. Profile of the Expected Candidate We are seeking a highly motivated and qualified candidate with the following profile: Master’s degree in Computer Science, Engineering, Physics
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from Gustave Roussy, Paris-Saclay University, CNRS, and INSERM. The AMMICa unit is at the forefront of cancer research, integrating 11 core facilities that collaborate seamlessly with Gustave Roussy’s