Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
) and donor material from healthy individuals and multiple sclerosis patients (blood and cerebrospinal fluid/CSF), combined with T and B cell receptor sequencing from patients and healthy donors. The aim
-
to contribute to cutting-edge research aimed at understanding microbiome-driven mechanisms and developing novel strategies for disease prevention and treatment. You will collaborate with renowned scientists in
-
Familiarity with statistical analysis and interpretation of experimental data Experience in scientific writing, especially for publications and third-party funding applications Proficient English and, ideally
-
coupled with DESI Imaging Mass Spectrometry, HPLC-DAD-MS, HPLC-HRMS, GC-MS, automated extraction systems such as Accelerated Solvent Extraction (ASE) and Supercritical Fluid Extraction (SFE), FT-IR
-
physics Comprehensive background in experimental low temperature physics Characterization of materials with respect to transport, thermodynamic and magnetic properties Analysis of experimental results
-
elucidation, with the aim of understanding their function and dynamic mechanism. One key focus lies on the understanding of neuronal ion channels, their regulation through other proteins, small molecules and
-
into these complex interactions. As part of this position, you will have the opportunity to contribute to cutting-edge research aimed at understanding microbiome-driven mechanisms and developing novel strategies
-
infarction, stroke and cancer. We aim to dissect mechanisms, which act on lymphatic vessels and immune cells and impact on development and resolution of inflammation. A key unknown during the course
-
PostDoc in "Geopolitical dilemmas for management: transfer of governance for the Southern Ocean" ...
: What (geo)political histories shape the dynamics of policy-making, as related to each cohort project? What governance mechanisms currently exist and how functional are they (or the concept of them)? What
-
within this project include: Extending DeepRVAT towards non-coding genetic variation Applying DeepRVAT to population-scale single-cell readouts Integrating population data with experimental perturbation