Marc Hirschvogel

Marc Hirschvogel Email and Phone Number

Postdoctoral Research Fellow @ MOX Laboratory
Bavaria, Germany
Marc Hirschvogel's Location
Bavaria, Germany, Germany
Marc Hirschvogel's Contact Details

Marc Hirschvogel work email

Marc Hirschvogel personal email

n/a
About Marc Hirschvogel

Marc Hirschvogel is a Postdoctoral Research Fellow at MOX Laboratory. He possess expertise in finite element analysis, c++, latex, continuum mechanics, nonlinear optimization and 11 more skills. He is proficient in Französisch and Englisch.

Marc Hirschvogel's Current Company Details
MOX Laboratory

Mox Laboratory

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Postdoctoral Research Fellow
Bavaria, Germany
Employees:
15
Marc Hirschvogel Work Experience Details
  • Mox Laboratory
    Postdoctoral Research Fellow
    Mox Laboratory
    Bavaria, Germany
  • Mox Laboratory
    Postdoctoral Research Fellow
    Mox Laboratory Jan 2024 - Present
    Mailand, Lombardei, Italien
    Scientific machine learning for cardiac electro-mechanics in variable geometry
  • Deep Ambit Diving
    Scuba Diving Instructor (Avocational / Freelance)
    Deep Ambit Diving Jan 2015 - Present
    München Und Umgebung, Deutschland
    • Scuba diving education for internationally recognized recreational diving certification (from "Open Water Diver" to "Dive Leader") as a freelancer
  • Hirschvogel Automotive Group
    Advisory Board Member
    Hirschvogel Automotive Group Jun 2012 - Present
    Denklingen, Bayern, Deutschland
  • Frank Hirschvogel Stiftung
    Chairman Of The Board Of Trustees
    Frank Hirschvogel Stiftung Jan 2013 - Present
    Denklingen, Bayern, Deutschland
  • Ambit Vc Gmbh
    Strategic Investor & Owner
    Ambit Vc Gmbh Mar 2012 - Present
  • King'S College London
    Postdoctoral Research Affiliate
    King'S College London Apr 2023 - Mar 2024
    London
  • King'S College London
    Postdoctoral Research Associate
    King'S College London Feb 2020 - Mar 2023
    London, Großbritannien
    Computational Modeling in Biomechanics:- Physics- and projection-based model reduction for cardiovascular fluid-solid interaction- Patient-specifc modeling of left heart hemodynamics of mitral valve regurgitation and surgery- Lumped-parameter modeling of blood circulation- Coupling of lumped and distributed models
  • Technische Universität München
    Research Associate, Phd Student
    Technische Universität München Sep 2012 - Dec 2018
    Garching B. München
    PhD studies at Mechanics & High Performance Computing Group• Research focus: Modeling and simulation of cardiac mechanics and the vascular system as well as novel heart assist technologies• Supervisor: Professor Dr. Michael W. Gee• Publications in peer-reviewed international journals and at international conferences• Supervision of more than 10 student theses (among others Diploma, Bachelor, and Master theses)• Supervision of tutorials as well as conception and correction of examinations in Engineering Mechanics• Conception and preparation of a DFG proposal on ”Pediatric heart growth“
  • Zf Group
    Internship Student
    Zf Group Aug 2011 - Oct 2011
    Kressbronn
    Finite element analyses of transmission components

Marc Hirschvogel Skills

Finite Element Analysis C++ Latex Continuum Mechanics Nonlinear Optimization Cardiac Mechanics Mathematical Modeling Python Microsoft Office Abaqus Nastran Ansys Catia Paraview Trelis Steinberg Cubase

Marc Hirschvogel Education Details

Frequently Asked Questions about Marc Hirschvogel

What company does Marc Hirschvogel work for?

Marc Hirschvogel works for Mox Laboratory

What is Marc Hirschvogel's role at the current company?

Marc Hirschvogel's current role is Postdoctoral Research Fellow.

What is Marc Hirschvogel's email address?

Marc Hirschvogel's email address is ma****@****l.ac.uk

What schools did Marc Hirschvogel attend?

Marc Hirschvogel attended Hofa-College, Technische Universität München, Technische Universität München, The University Of Auckland.

What skills is Marc Hirschvogel known for?

Marc Hirschvogel has skills like Finite Element Analysis, C++, Latex, Continuum Mechanics, Nonlinear Optimization, Cardiac Mechanics, Mathematical Modeling, Python, Microsoft Office, Abaqus, Nastran, Ansys.

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