Dr. Juan-Pablo Perez-Beaupuits

Angestellt, Astronomer, European Southern Observatory
Santiago, Chile

Fähigkeiten und Kenntnisse

science
research
astrophysics
atmospheric science
space science
electronics
Linux
Windows
programming
python
perl
java
C/C++
fortran
idl
matlab
data analysis
system analysis
genetic algorithms
artificial neural networks
fuzzy logic
image processing
control systems
machine learning
learning systems
simulations
dynamic systems
digital design
stochastic processes
statistics
internet
Web
international group coordination
scientific writing
public presentations
international group collaborations.

Werdegang

Berufserfahrung von Juan-Pablo Perez-Beaupuits

  • Current 10 years and 11 months, since Aug 2015

    Astronomer

    European Southern Observatory

    Support science operations of the APEX telescope in Chile, for the European Southern Observatory.

  • Current 13 years and 6 months, since Jan 2013

    Postdoctoral researcher

    Max-Planck-Institut für Radioastronomie

  • 2 years and 4 months, Sep 2010 - Dec 2012

    Humboldt Post-doctoral Research Fellow

    Max-Planck-Institute für Radioastronomie

  • 4 years and 1 month, Sep 2006 - Sep 2010

    Ph.D. student

    Kapteyn Astronomical Institute, Rijksuniversiteit Groningen

  • 1 year and 10 months, Sep 2002 - Jun 2004

    Electronics Engineer

    European Southern Observatory

  • 5 years and 7 months, Jun 1997 - Dec 2002

    Research Assistant

    Universidad de Chile

Ausbildung von Juan-Pablo Perez-Beaupuits

  • 4 years and 1 month, Sep 2006 - Sep 2010

    Astrophysics

    Rijksuniversiteit Groningen

    (sub-)mm observations, radiative transfer, interstellar medium, atomic and molecular cloud thermodynamics, active galactic nuclei, galaxies

  • 2 years and 1 month, Aug 2004 - Aug 2006

    Space Science and Radio Astronomy

    Chalmers University of Technology

    radio astronomy, radar and remote sensing, space science, earth system science.

  • 7 years and 5 months, Mar 1995 - Jul 2002

    Electrical and Biomedical Engineering

    Universidad de Chile

    biomedical engineering, artificial neural network, genetic algorithms, fuzzy logic, image processing, data analysis, stochastic processes, statistics, electronic design, digital design, system analysis, control systems.

Sprachen

  • English

    C1 (Fließend)

  • Spanish

    C2 (Verhandlungssicher / Muttersprachlich)

  • German

    B1-B2 (Gute Kenntnisse)

  • Italian

    A1-A2 (Grundkenntnisse)

  • French

    A1-A2 (Grundkenntnisse)

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