Programming Languages

  • C/C++: professional

  • Python: professional, Libraries: TensorFlow, Keras, PyTorch, NumPy, SciPy, Pandas

  • Matlab/GNU Octave: professional

  • Java: advanced

  • Perl: basic knowledge

  • Bash: basic knowledge

  • Assembler (x86, Atmel AVR): basic knowledge

 

IT Skills

  • Operating Systems: Linux (especially Ubuntu), Microsoft Windows

  • IDEs: Eclipse, KDevelop, Microsoft Visual Studio, Spyder

  • Versioning Tools: Perforce, Git

  • Software und Tools: Nuendo, Audacity, LibreOffice, Microsoft Office

  • Further Skills: Computer Networks, Server Administration (Linux), Slurm, LaTeX