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Full resolution image here.

using Dates, CairoMakie function airport_pass() tick_years = Date.(2012:2023) DateTick = Dates.format.(tick_years, "yyyy") # https://fr.wikipedia.org/wiki/Aéroport_de_Paris-Orly traf_orly = [27_232_263, 28_274_154, 28_862_586, 29_664_993, 31_237_865, 32_042_475, 33_120_685, 31_853_049, 10_797_105, 15_724_580, 29_184_775, missing] fig = Figure() ax1 = Axis(fig[1,1]) scatterlines!

Create a wordcloud from .bib file using Bibliography, WordCloud function all_words(bib_file) imported_bib = import_bibtex(bib_file) words = "" for ref in keys(imported_bib) words = string(words, lowercase(imported_bib[ref].title), " ") end words end path = "mybiblio/" words = all_words(path*"mybib.

Ingénieur(e) Informatique mots-clés : traitement de données, bases de données, machine learning Description de la mission L’emploi s’inscrit dans un projet de création de la Startup SequoIA Analytic. SequoIA Analytics offre des solutions innovantes aux problèmes d’analyse de la circulation routière, opérant à distance et immédiatement déployables sur des installations préexistantes.

Don’t miss GDR IASIS meeting on current state of inversion methods in astronomy and future challenges. Details here

I will be at 5th SLSIP workshop in Porquerolles island: SLSIP24!

Image reconstruction in high-contrast polarimetric imaging using data driven models This PhD is funded by PEPR Origins The PhD involves collaboration between Observatoire de la Côte d’azur (OCA), Ecole Normal Supérieur de Lyon (ENS) and Centre de Recherche Astrophysique de Lyon (CRAL).

You need to compute a subset of the outputs of a 2D FFT with a large zero padding? Try PrunedFFT.jl. It works also on GPU🔥 using PrunedFFT n = 128 x = rand(n, n) n_pad = 1024 k_span = collect(512:612) f = pruned_fft(x, n_pad, k_span) If CUDA.

Machine learning for gravitational lensing analysis of massive radio surveys Keywords: Machine learning, gravitational lensing, imaging methods in radio astronomy, artificial intelligence, inverse problems, SKA. Observatoire de la Côte d’Azur invites applications for a PhD position in machine learning for astrophysics.

Simple Plots.jl receipe for waterfall plots (a la Unknown Pleasures 😀). Install using: pkg> add https://github.com/andferrari/WaterFall.jl and using WaterFall x = [exp(-(n - 1e-2*τ^2)^2/τ) for n in 0:300, τ in 40:10:160] plotfall(x, w=2)