Dr. Karen Voigt
Inhaltsverzeichnis
Dr. Karen Voigt
Medizinische Fakultät Carl Gustav Carus, Allgemeinmedizin
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FORSCHUNGSTHEMEN UND -SCHWERPUNKTE
- Forschung zu wichtigen allgemeinmedizinischen Fragestellungen (z. B. Somatisierungsstörungen aus Arzt- und Patientenperspektive, Versorgungsituation bei Schilddrüsenerkrankungen, epidemiologische Studien zu Beratungsanlässen und –ergebnissen, Gesundheitsverhalten medizinischer Berufsgruppen, Lehrforschung),
- Lehre im Fach Allgemeinmedizin, Vermittlung ärztlicher Basisfähigkeiten, Koordination verschiedener Querschnittsbereiche, interessante Wahlpflichtfächer. Bei der Vermittlung allgemeinmedizinischen Wissens unterstützen uns niedergelassene Fachärzte als Lehrärzte,
- Nachwuchsförderung, d. h. Unterstützung Medizinstudierender, die sich für das Fach Allgemeinmedizin und die hausärztliche Tätigkeit interessieren und
- Weiterbildung und Mentoring junger Ärztinnen und Ärzte auf dem Weg zum Facharzt für Allgemeinmedizin
LEBENSLAUF
Leiterin Bereich Forschung für Allgemeinmedizin, Medizinische Fakultät Carl Gustav Carus TU Dresden |
AKTUELLE PUBLIKATIONEN
Voigt, K. (Hrsg.): Journal of Public Health.. Heidelberg : Springer (2016)
Voigt, K. (Hrsg.): Journal of Public Health.. Heidelberg : Springer-Verlag (2016)
Voigt, K. (Hrsg.): Prävention und Gesundheitsförderung.. Heidelberg : Springer (2016)
Voigt, K. (Hrsg.): Prävention und Gesundheitsförderung.. Heidelberg : Springer (2016)
AKTUELLE FORSCHUNG
research, playing comparable roles as do experiment
and theory. This success of computational methods
in scientifc and engineering research is to a large extend
do to contributions from applied mathematicians, who
have developed algorithms which make real life applications
feasible. Examples are adaptive methods, high order
discretization, fast linear and non-linear solvers and
multi-level methods. The application of these methods in
a large class of problems demands for suitable and robust
tools for a flexible and effcient implementation. AMDiS is a simulation packages for the
numerical solution of partial differential equations by the
above mentioned algorithms, which are suitable to solve
real world problems. In order to play a
crucial role in scientifc and engineering research, besides
effciency in the numerical solution, effciency in problem
setup and interpretation of simulation results is of utmost
importance too. As modeling and computing comes closer together effcient computational methods need to
be applied to new sets of equations. The problems to
be addressed by simulation methods become more and
more complicated, ranging over different scales, interacting
on different dimensions and combining different
physics. Such problems need to be implemented in a
short period of time, solved on complicated domains and
visualized with respect to the demand of the user. Only
a modular abstract simulation environment will fulfill
these requirements and allow to setup, solve and visualize
real-world problems appropriately. AMDiS is developed to
fullfill these requirements.
research, playing comparable roles as do experiment
and theory. This success of computational methods
in scientifc and engineering research is to a large extend
do to contributions from applied mathematicians, who
have developed algorithms which make real life applications
feasible. Examples are adaptive methods, high order
discretization, fast linear and non-linear solvers and
multi-level methods. The application of these methods in
a large class of problems demands for suitable and robust
tools for a flexible and effcient implementation. AMDiS is a simulation packages for the
numerical solution of partial differential equations by the
above mentioned algorithms, which are suitable to solve
real world problems. In order to play a
crucial role in scientifc and engineering research, besides
effciency in the numerical solution, effciency in problem
setup and interpretation of simulation results is of utmost
importance too. As modeling and computing comes closer together effcient computational methods need to
be applied to new sets of equations. The problems to
be addressed by simulation methods become more and
more complicated, ranging over different scales, interacting
on different dimensions and combining different
physics. Such problems need to be implemented in a
short period of time, solved on complicated domains and
visualized with respect to the demand of the user. Only
a modular abstract simulation environment will fulfill
these requirements and allow to setup, solve and visualize
real-world problems appropriately. AMDiS is developed to
fullfill these requirements.
- Herr Prof. Dr. rer. nat. habil. Axel Voigt
- Herr Dipl.-Inf. Thomas Witkowski
- Herr Prof. Dr. rer. nat. habil. Axel Voigt