Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- Technical University of Munich
- Leibniz
- Forschungszentrum Jülich
- University of Tübingen
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- University of Greifswald
- 1 more »
- « less
-
Field
-
qualitative proteomics Expertise in LC-MS/MS techniques, including eventually post-translational modification (PTM) analysis Proficiency with bioinformatics and statistical analysis tools, especially in R and
-
Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 22 days ago
Outstanding skills in at least one of the following research (sub)-disciplines (or closely related disciplines): polaritonic chemistry, quantum optics, quantum statistical mechanics, spin glasses, open quantum
-
to publications and grant writing, and support the supervision of students and junior researchers in one the following research areas: Computational oncology AI drug discovery Statistical genetics, single-cell
-
(e.g., GIS, system dynamics, statistical programming) #strong knowledge of qualitative methods in empirical social research #experience working in interdisciplinary and international research projects is
-
) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
-
PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
), statistical analysis, modelling, and mapping Highly motivated and eager to work in an interdisciplinary marine research context Excellent communication and teamwork skills, with the ability to collaborate
-
, signal processing, and data mining A strong background in programming, statistical analysis, and spatial modelling and mapping Highly motivated to work on the subject and eager to work in an
-
) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
-
experience with omics data analyses guided by strong biological understanding demonstrated experience in statistical analysis and development of computational tools documented programming skills, preferably in
-
relevant to the Institute's research; experience with quantitative research methods and statistical analysis, ability to work independently and in interdisciplinary teams, with excellent organizational and