Léa Künle

Consultante équipe consulting AMOA at Actimage
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Contact Information
us****@****om
(386) 825-5501
Location
Illkirch-Graffenstaden, Grand Est, France, FR
Languages
  • French Native or bilingual proficiency
  • English Professional working proficiency
  • German Limited working proficiency
  • Japanese Elementary proficiency

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Experience

    • France
    • IT Services and IT Consulting
    • 100 - 200 Employee
    • Consultante équipe consulting AMOA
      • Feb 2018 - Present

  • e-MEDIA
    • Région de Strasbourg, France
    • Stagiaire
      • Mar 2018 - Aug 2018

      Travail d'Ingénieur Qualité dont notamment le marquage CE de dispositifs médicaux de classe I (auto-déclaration) ainsi que l'élaboration et la réalisation de phases de tests pour des logiciels médicaux Travail d'Ingénieur Qualité dont notamment le marquage CE de dispositifs médicaux de classe I (auto-déclaration) ainsi que l'élaboration et la réalisation de phases de tests pour des logiciels médicaux

    • Canada
    • Think Tanks
    • 300 - 400 Employee
    • Stagiaire
      • Jun 2017 - Aug 2017

      Stage de 3 mois Tâche : Développer une interface pour un logiciel de détection de comportements de rats dans le but de valider un modèle animal pour la maladie de Parkinson Stage de 3 mois Tâche : Développer une interface pour un logiciel de détection de comportements de rats dans le but de valider un modèle animal pour la maladie de Parkinson

  • Laboratoire ICube
    • Région de Strasbourg, France
    • Intern
      • Jun 2016 - Jun 2016

      Internship of one month. Goal: be the link between the school of Biotechnology (ESBS) and the laboratory ICube to develop a sensor for the detection of the malaria. Internship of one month. Goal: be the link between the school of Biotechnology (ESBS) and the laboratory ICube to develop a sensor for the detection of the malaria.

    • Engineering Project
      • 2015 - 2016

      Development of a software to help to the diagnosis of drowning Goals: training of a machine learning algorithm to detect diatoms (unicellulare alguae which are present in corpses of drowning people) on microscopic photos, comprehension of this algorithme and creation of a graphic interface. Development of a software to help to the diagnosis of drowning Goals: training of a machine learning algorithm to detect diatoms (unicellulare alguae which are present in corpses of drowning people) on microscopic photos, comprehension of this algorithme and creation of a graphic interface.

Education

  • Télécom Physique Strasbourg
    Master's degree in engineering, Health information techology
    2015 - 2018
  • Lycée Dumont d'Urville, Toulon 83 000
    CPGE, Physics et Engineering Sciences
    2012 - 2015
  • Lycée Raynouard, Brignoles 83170
    Science Bachelor's degree, Engineering Science
    2009 - 2012

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