Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Leibniz
- Nature Careers
- Technical University of Munich
- Heidelberg University
- Fraunhofer-Gesellschaft
- DAAD
- Free University of Berlin
- Forschungszentrum Jülich
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Demographic Research (MPIDR)
- ;
- Helmholtz-Zentrum Geesthacht
- Humboldt-Universität zu Berlin •
- Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr
- Max Planck Institute for Human Development, Berlin
- Max Planck Institute for Physics, Garching
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- University of Tübingen
- 9 more »
- « less
-
Field
-
L, Salazar R, Spaich K, Varadi K, Birkenstock J, Egger M, Gao E, Koch WJ, Katus HA, Frey N, Jungmann A, Busch CJ, Mather PJ, Ruhparwar A, Voelkers M, Wade RC, Most P: S100A1ct: a synthetic peptide
-
Hochschulstudium der Medizin, die qualifizierte Promotion und die pädagogische Eignung, die i. d. R. durch Erfahrung in der Lehre nachgewiesen wird. Außerdem sind zusätzliche wissenschaftliche Leistungen (die
-
skills in statistical analyses, preferably using R Strong track record of international publications Excellent written and oral communication and project presentation skills in English Salary and benefits
-
comprehensive programming experience in python and/or R demonstrable experience in multi-omics and/or single cell omics data analysis knowledge of machine learning principles and applications very good
-
. Good programming skills, preferably R/Java/Python. Good written and spoken communication skills in English. Ability to work independently and with others within an outstanding scientific environment
-
processes Strong experience in working with large datasets and advanced programming skills (e.g., Python, MATLAB, R) Knowledge of biological and biogeochemical processes in the biological carbon pump
-
-induced cardiotoxicity (AICT) and heart failure with preserved/ reduced ejection model. References: Kehr D, Ritterhoff J, Glaser M, Jarosch L, Salazar R, Spaich K, Varadi K, Birkenstock J, Egger M, Gao E
-
qualitative methods; some background in or willingness to learn computational social science methods as well as R and/or Python is highly desirable. Willingness to develop an ambitious empirical research
-
and papers Very good knowledge of and experience with MS office, graphic programs, statistical software, bioinformatics tools and online tools (e.g. Illustrator, Lightroom, GraphPadPrism, R) Highly
-
, biochemistry & bioinformatics Experience in the fields of bioinformatics, computational biology or systems biology Proficiency in a programming language (e.g. Python or R) for data analysis and model