Phd Candidate
CurrentDeveloping reduced basis finite volume methods for application in the simulation of in situ heterogeneous catalysis experiments (DFG project 467076359).
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Daniel R. is listed as PhD Candidate at Weierstrass Institute at Weierstrass Institute, a with 42 employees, based in Berlin Metropolitan Area, Germany. AeroLeads shows a matched LinkedIn profile for Daniel R..
Daniel R. previously worked as PHD Candidate at Weierstrass Institute and Research Assistant at Weierstrass Institute. Daniel R. holds Master'S Degree, Scientific Computing, 1.4 from Technische Universität Berlin.
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Daniel R. is a PhD Candidate at Weierstrass Institute at Weierstrass Institute. He possess expertise in numerical analysis, finite element analysis, scientific computing, python, julia and 9 more skills. He is proficient in English.
Listed skills include Numerical Analysis, Finite Element Analysis, Scientific Computing, Python, and 10 others.
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Berlin, Germany
Developing reduced basis finite volume methods for application in the simulation of in situ heterogeneous catalysis experiments (DFG project 467076359).
Berlin Area, Germany
Developing a fast multilevel solver for elasticity problems in semiconductor physics and a multi-preconditioned solver for electrochemical cell simulation.
Other employees you can reach at wias-berlin.de. View company contacts for 42 employees →
Matthias Liero
Colleague at Weierstrass InstituteBerlin, Germany
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David Sommer
Colleague at Weierstrass InstituteContact Info, United States
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Anja Schröter
Colleague at Weierstrass InstituteBerlin, Germany
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Marcelo Bongarti
Colleague at Weierstrass InstituteBerlin, Germany
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Michael O'Donovan
Colleague at Weierstrass InstituteGermany
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Luca Pelizzari
Colleague at Weierstrass InstituteBerlin, Germany
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Lukas Lüchtrath
Colleague at Weierstrass InstituteBerlin, Germany
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Christian Bayer
Colleague at Weierstrass InstituteGermany
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Clemens Sirotenko
Colleague at Weierstrass InstituteBerlin, Germany
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Andzhey Koziuk
Colleague at Weierstrass InstituteBerlin, Germany
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Focus on numerical treatment of partial differential equations (finite elements and finite volume methods), optimal control of ordinary.
Focus on basic machine learning and applied mathematics. Bachelor's thesis in the area of reinforcement learning.
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Daniel R. works for Weierstrass Institute.
Daniel R. is listed as PhD Candidate at Weierstrass Institute at Weierstrass Institute.
Daniel R. is based in Berlin Metropolitan Area, Germany while working with Weierstrass Institute.
Daniel R. has worked for Weierstrass Institute.
Daniel R.'s colleagues at Weierstrass Institute include Matthias Liero, David Sommer, Anja Schröter, Marcelo Bongarti, and Michael O'Donovan.
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Daniel R. holds Master'S Degree, Scientific Computing, 1.4 from Technische Universität Berlin.
Daniel R. is listed with skills including Numerical Analysis, Finite Element Analysis, Scientific Computing, Python, Julia, Numerical Linear Algebra, Matlab, and C++.
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