riented education and groundbreaking and excellent research. Head of Division Jens Thiel T: +43 316 385 17779 E: jens.thiel(at)medunigraz.at Research profile First Deputy Head of Division Martin Helmut [...] 81794 E: martin.stradner(at)medunigraz.at Research profile Second Deputy Head of Division Kurt Weber T: +43 316 385 80805 E: kurt.weber(at)medunigraz.at Research profile Team Academic university staff Berghammer
Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine Ivo Steinmetz T: +43 316 385 73700 E: ivo.steinmetz(at)medunigraz.at Research profile Diagnostic and Research Institute [...] dunigraz.at Research profile Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine Karl Dichtl T: +43 316 385 73609 E: karl.dichtl(at)medunigraz.at Research profile Diagnostik- [...] Research team of Steinmetz Molecular Epidemiology and Clinical Microbiology research area PI's: Ivo Steinmetz, Eva Leitner-Meyer, Gabriel Wagner-Lichtenegger, Karl Dichtl, Sabine Wagner-Lichtenegger Focus:
technical support for researchers in the fields of biostatistics and bioinformatics. The current focus is on the management and analysis of genomic and biological data in microbiome research, the identification [...] Server Contact Andrea Groselj-Strele T: +43 316 385 73012 E: andrea.groselj-strele(at)medunigraz.at Research Profile
education and groundbreaking and excellent research. Head of Department Dietmar Thurnher T: +43 316 385 83448 E: dietmar.thurnher(at)medunigraz.at Research profile First Deputy Head of Department Hannes [...] Hannes Braun T: +43 316 385 83448 E: hannes.braun(at)medunigraz.at Research profile Team - without divisional affiliation General university staff Bauer Mareike Fank Gerhard Gerstenberger Claus Marzi Jessica
education and groundbreaking and excellent research. Head of Department Thomas Baptist Brunner T: +43 316 385 16677 E: thomas.brunner(at)medunigraz.at Research profile First Deputy Head of Department Heidi [...] Heidi Stranzl-Lawatsch T: +43 316 385 16677 E: heidi.stranzl(at)medunigraz.at Research profile Team Academic university staff Grah Josip Joachim Jakse Gabriele Lukasiak Katarzyna Partl Richard Winkler Peter
ted education and groundbreaking and excellent research. Head of Division Jörg Lindenmann T: +43 316 385 13302 E: jo.lindenmann(at)medunigraz.at Research profile First Deputy Head of Division Alfred Maier [...] Maier T: +43 316 385 13302 E: alf.maier(at)medunigraz.at Research profile Team Academic university staff Ahmic Edin Anegg Udo Busau Anton Fell Birgit Klemen Huberta Mykoliuk Iurii Okresa Lucija Porubsky
shape and affect data processing and sharing in research & personalized medicine The processing and sharing of health data is necessary to advance research of various diseases and health conditions as well [...] infrastructures. The aim of this event is to bring together stakeholders in Austria, including researchers, hospitals, clinical practitioners, biobanks, data repositories, Austrian health ministry repr
MERAG - Core Facility Computational Bioanalytic Advanced R for Life Science research R is a language and computational environment for statistics, advanced data analysis, machine learning and visualization; [...] tics. Due to techological advances in molecular biology (genomics, large-scale systems biology) research in the life sciences is becoming increasingly data rich. The aim of this course is to provide students [...] this course, participants will be able to more proficiently use R for data analysis in life science research by applying loops, functions, control structures and create profound plots.
basic research as well as in translational applications. Research is organized along three major lines, methods-driven research focusing on the development of in silico models of total heart function, applied [...] Research team Plank Research focus: Presicion Medicine PI: Gernot Plank Focus: The CCL is focused on the development of advanced computational models of cardiac function, and their application in basic [...] applied basic research centered around the use of models for analyzing multiscale-multiphysics mechanisms underlying cardiac function in health and disease, and translational research to leverage computational
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