Open positions

Technische Assistenten/in (MTA/CTA/BTA)

Eintrittsdatum: ab 01.08.2023

Am Institut für Klinische Neuroimmunologie (www.neuroimmunology-munich.de) am Biomedizinischen Zentrum der LMU (www.bmc.med.lmu.de) beschäftigen wir uns vor allem mit der Entwicklung neuer Strategien zur Behandlung der Multiplen Sklerose, der häufigste neurologischen Ursache einer Behinderung im jungen Erwachsenenalter. Das Ziel der Therapiestrategien ist es, die entzündliche Schädigung der Gehirns und Rückenmarks zu verhindern. Gemeinsam mit dem Exzellenzcluster SyNergy (www.synergy-munich.de) umfasst unsere Arbeit dabei sowohl die Untersuchung von Patientenproben als auch von präklinischen MS Modellen. Wir verwenden dabei moderne molekularbiologische und zellbiologische Untersuchungstechniken wie Einzelzellsequenzierung, Immunzellkultur und CRISPR-basierte Gen-editierung.

Wir suchen eine(n) geeignete(n) technische(n) Assistent/in (MTA/CTA/BTA; m/d/f). Lernfähigkeit und Motivation sind uns dabei wichtiger als vorbestehende technische Erfahrungen. Englisch-Kenntnisse sind erwünscht. Die Stelle (Vollzeit) ist zunächst auf 2 Jahre befristet, eine Verlängerung ist möglich.

Bitte bewerben Sie sich mit Motivationsschreiben, Lebenslauf und Referenzen bei:

Master’s thesis student with interest in image analysis

At the Kerschensteiner Lab we study how axons degenerate in mouse models of multiple sclerosis. Most of our data comes from intravital 2-photon-imaging of the spinal cord. Here we offer a master’s thesis project to automate the analysis of 2-photon-microscopy images of mouse spinal cord axons. The aim is to develop a AI-based image analysis pipeline that would allow automatic staging of axon damage in 2-photon imaging stacks.

We are looking for highly motivated, enthusiastic and hard-working applicants with previous experience in using data science approaches for image analysis. Applicants should be fluent in English. The starting date for this project is flexible but we aim for spring/summer of 2023. If you are interested, please send a letter of motivation and your CV to:

Post-doctoral scientist with Bioinformatics Expertise

The Kerschensteiner Lab at the Biomedical Center of the Ludwig-Maximilians University Munich is looking for a post-doctoral scientist with expertise in Bioinformatics. In collaboration with the SyNergy Excellence cluster the candidate will develop and apply bioinformatic pipelines (based on R or Phyton) for bioinformatic analysis of scRNA-seq, snRNA-seq as well as Multiome datasets from patients with neurodegenerative, neurovascular and neuroinflammatory conditions. One of our key aims is the development of an integrative analysis pipeline that will allow us to identify and remove from the equation the species-specific or model-specific mechanisms and thereby improve the translational predictability of preclinical models. Together with our collaborators in the SyNergy Excellence Cluster we have access to unique patient-derived samples as well as to a range of preclinical disease models.

We are looking for highly motivated, enthusiastic and hard-working applicants with Bioinformatics background, who are fluent in English. The starting date for this position is flexible but we aim for spring/summer of 2023. Funding for this project is secured till at least the end of 2025. If you are interested in the position please send a letter of motivation, your CV and the names and contact details of 2 to 3 references to:

PhD/Postdoc position in Neuroscience/Neuroimmunology

Are you curious about the interaction of the immune system and the brain in health and disease? We here offer a PhD or postdoc position to study the cellular and circuit mechanisms of autoimmune encephalitis. Using state-of-the-art in vivo imaging to longitudinally monitor the structure and function of different neuronal types as well as their interaction with immune cells, combined with single cell transcriptomics as well as biomarker search in collaboration with our outpatient clinic, we will explore the nature and causal role of the neuro-immune crosstalk in autoimmune encephalitis. The project will be conducted in close collaboration with the lab of Prof. Harald Prüss at the Charité and DZNE in Berlin (https://www.dzne.de/forschung/forschungsbereiche/grundlagenforschung/forschungsgruppen/pruess/forschungsschwerpunkte).

Research in the Liebscher lab (https://www.neuroimmunology-munich.de/our-labs/liebscher-lab/62208d74399bdb46) at the Institute of Neuroimmunology of the Ludwig-Maximilians University (Munich Cluster of Systems Neurology - SyNergy) is centred on the investigating of circuit mechanisms in CNS disorders, using a variety of techniques ranging from biochemical, transcriptional, proteomic and immunohistochemical approaches to behavior, cutting-edge in vivo two-photon calcium imaging and circuit tracing. We strive to gain insight into the differential vulnerability of cell-types in CNS disorders such as Amyotrophic lateral sclerosis, Alzheimer’s - , Huntington’s disease and autoimmune encephalitis and how neural networks both at micro- and macroscale are affected across disease stages to further fuel neuronal dysfunction and eventual degeneration.

Our lab is embedded within an outstanding research environment, encompassing the BioMedical Center, the University hospital, the DZNE, the SyNergy excellence cluster together with the Technical University as well as 2 Max Planck Institutes, all of which allow for access to state-of-the-art technologies, lively scientific exchange and various collaborative opportunities.

Ideal candidates should hold a degree in natural sciences, medicine, or physics with a strong background in neuroscience and have prior experience with in vivo two-photon imaging and programming. We are looking for a highly motivated team-player and ‘science geek’ to complement our international team.

Funding is secured for a minimum of 3 years for a PhD candidate and 2 years for a postdoc. Please send your application, including your CV, letter of motivation and the names and contact details of at least 2 referees as a single pdf file to: Sabine.Liebscher@med.uni-muenchen.de