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of samples using biochemical and structural approaches (western blot, negative-stain EM) iii) Prepare samples for cryo-EM (grid preparation, optimisation of vitrification conditions) iv) Interact with cryo-EM
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aeroacoustics (wind tunnel testing, microphone arrays) MATLAB / Python for signal processing CFD software (ANSYS Fluent, OpenFOAM) FEM softwares (COMSOL, ACTRAN) Spectral analysis (FFT, wavelets) Behavioural
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Paris to develop an optimised data processing pipeline for detecting and measuring very faint surface brightness in Euclid mission images. The following four areas will be explored: the properties
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, MATLAB) - Mathematical modeling - Data analysis - Scientific writing in English ### Personal Qualities - Ability to work in a team - Scientific rigor - Autonomy - Excellent communication skills Website
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. Profile sought: We are looking for a highly motivated postdoctoral researcher with a PhD in Neuroscience or a related field. Required skills: Proficiency in programming (Matlab, Python, and/or R); Autonomy
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: to understand the neurophysiological mechanisms and brain networks involved in neurological and psychiatric disorders (epilepsy, Parkinson's disease and obsessive-compulsive disorder), and to optimise
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 10 days ago
data, OD matrices) Programming skills for scientific computing (Python, MATLAB, or similar) Familiarity with applications in mobility systems, transportation, or energy systems (e.g., electric vehicles
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) - Experience with collaborative development software and platforms (e.g. git, GitHub) - Experience with the scientific python ecosystem - Some experience in code optimisation (time and memory) appreciated
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on different conditions (composite electrode formulation, electrolyte formulation, pH, oxide or polymer-based negative electrode, temperature…) Optimisation of the devices. Redaction of drafts/publications and
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algorithms (Python, Matlab, or equivalent). Experience with deep neural networks, particularly for the analysis of spectral or imaging data, will be highly appreciated. Knowledge of light propagation in