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into consistent object-level components and associate them with semantic categories and attributes (iii) To design mechanisms to refine incomplete or ambiguous scene regions into coherent structures (iv) To study
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related field, with solid knowledge of quantum mechanics and statistical mechanics. Experience in computational physics and programming (e.g. Python, Fortran, C/C++ or similar), as well as familiarity with
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analysis and developing advanced data interpretation methods, SPACE-MEL aims to unlock deeper insights into cellular organisation and disease mechanisms. The network will train 15 Doctoral Candidates through
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