Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Forschungszentrum Jülich
- Technical University of Munich
- Leibniz
- Nature Careers
- DAAD
- Free University of Berlin
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Biogeochemistry, Jena
- University of Tübingen
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- CISPA (at University of Stuttgart)
- Humboldt-Universität zu Berlin •
- Ludwig-Maximilians-Universität München •
- MPINB
- Max Planck Institute for Biology of Ageing, Cologne
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Human Development, Berlin
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Max Planck Institute for Neurobiology of Behavior - caesar, Bonn
- Max Planck Institute for Plasma Physics (Garching), Garching
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Max Planck Institute of Biochemistry, Martinsried
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- TU Bergakademie Freiberg
- WIAS Berlin
- 19 more »
- « less
-
Field
-
simulation software, e.g., SUMO, MATSim, etc. Good command of a statistical or procedural programming language such as R, python, julia, matlab, etc. Interest in transport policy We offer We offer a full-time
-
chromatography is required. Additionally, familiarity with precursor and reporter ion quantification & PTM analysis tools, and experience in programming languages like R and/or Python would be essential
-
Utilize data tools (R/Python) for data processing, modeling, and visualization What you bring to the table Studies in the field of biology, agriculture, or environmental engineering Experience in
-
analysis of large data sets, statistical modeling, and knowledge of at least one programming language (e. g.: R, Python and/or Julia) are required. Experience in machine learning and image recognition
-
. You are studying microsystems technology, natural sciences, engineering, IT, mathematics or a comparable course of study. You have very good programming skills in Python. You have very good visual and
-
skills in Python, Javascript and React You are characterized by an autonomous way of working, strong communication skills, solution-focused mindset and the ability to work in a team Basic knowledge of
-
of the (computational) mechanics of solids and the finite element method and/or spectral solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux
-
analysis and analytical data analysis workflows, together with other team members Implementing AI-based microscopy image analysis software as python packages Developing algorithms to deploy machine learning
-
for data analysis and experiment automation (Python preferred) Excellent English communication skills (written and verbal) Demonstrated ability to work in interdisciplinary and collaborative environments
-
. The ideal candidate will have a completed degree (Masters/PhD) in Applied Mathematics, CSE, or comparable programs with above-average results; good programming skills and experience in C++ and Python