Dávid Švec

PHD Student at Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava
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Contact Information
us****@****om
(386) 825-5501
Location
Slovakia, SK
Languages
  • Slovak Native or bilingual proficiency
  • English Professional working proficiency
  • German Elementary proficiency
Skills

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Credentials

  • Neural Networks and Deep Learning
    Coursera
    Mar, 2023
    - Oct, 2024
  • Calculus for Machine Learning and Data Science
    Coursera
    Feb, 2023
    - Oct, 2024
  • Linear Algebra for Machine Learning and Data Science
    Coursera
    Feb, 2023
    - Oct, 2024
  • Machine Learning Specialization
    Coursera
    Jan, 2023
    - Oct, 2024
  • Unsupervised Learning, Recommenders, Reinforcement Learning
    Coursera
    Jan, 2023
    - Oct, 2024
  • Advanced Learning Algorithms
    Coursera
    Dec, 2022
    - Oct, 2024
  • Supervised Machine Learning: Regression and Classification
    Coursera
    Nov, 2022
    - Oct, 2024

Experience

  • Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava
    • Education Management
    • 1 - 100 Employee
    • PHD Student
      • Sep 2019 - Present

      Analysis of interconnections between cardiovascular signals related to the new field of network physiology. Definition and extraction of new cardiovascular parameters. Analysis of interconnections between cardiovascular signals related to the new field of network physiology. Definition and extraction of new cardiovascular parameters.

  • Adaptiware.company
    • Slovakia
    • Information Technology & Services
    • 1 - 100 Employee
    • Python Developer
      • Aug 2018 - Feb 2019

  • Institute of Molecular and Translational Medicine, Faculty of Medicine&Dentistry, Palacky University
    • Czechia
    • Research Services
    • 1 - 100 Employee
    • Undergraduate Research Assistant
      • Oct 2016 - Jun 2018

      Developing an in-silico model focused on multi-objective optimization of compound structures and properties (potential drugs). Developing an in-silico model focused on multi-objective optimization of compound structures and properties (potential drugs).

  • Cognexa Solutions
    • Prague, The Capital, Czech Republic
    • Machine Learning Specialist - Intern
      • Dec 2017 - Mar 2018

      Reimplementing deep learning models from papers focused on computer vision. Reimplementing deep learning models from papers focused on computer vision.

  • iZUŠ
    • District Prerov, Czech Republic
    • Web Developer
      • Nov 2016 - Apr 2017

  • Institute of Electrical Engineering, Slovak Academy of Sciences
    • Slovakia
    • Research Services
    • 1 - 100 Employee
    • Undergraduate Research Assistant
      • Jun 2015 - Jun 2016

      Developing an automated workstation for measurement of the optical response of bolometric materials. Developing an automated workstation for measurement of the optical response of bolometric materials.

  • Servier Slovensko spol. s r.o.
    • Bratislava
    • Financial Reporting Analyst
      • Dec 2014 - May 2015

      Processing data, working with database, creating macros in Visual Basic Processing data, working with database, creating macros in Visual Basic

Education

  • Univerzita Komenského v Bratislave
    Doctor of Philosophy - PhD, Physiology, General
    2019 - 2023
  • Palacký University in Olomouc
    Master's Degree, Computer Science
    2013 - 2019
  • Slovenská technická univerzita v Bratislave
    Bachelor's degree, Computer Science
    2013 - 2016

Community

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