Research assistant (doctoral student) (m/f/d)

    JOB TITLE: Research assistant (doctoral student) (m/f/d)
    AREA OF ​​APPLICATION: Institute of Experimental Immunology and Imaging – Department of Immunodynamics
    JOB TYPE: Scientific body
    JOB ID: 11106
    ENTRY: July 1, 2024
    SCOPE: part-time; 25,025 (65%)
    CONTRACT TYPE: Temporary
    TIME LIMIT: June 30, 2027; in accordance with Section 2 Paragraph 1 WissZeitVG

    APPLICATION: Online application - right here with just a few clicks:

    Your tasks:

    Sample preparation and measurement

    - Complex sample preparation and measurement in the laboratory under S1 and S2 conditions
    - Collaborative application of preclinical in vivo and in vitro models for multimodal imaging and mass spectrometry
    - Isolation of tissue and cells by laser microdissection for further mass spectrometric studies
    - Establishment and measurement of multiplex immunofluorescence microscopy stains and preparation of histological sections for mass spectrometry

    Development and evaluation of multimodal data sets

    - Establishment of bioinformatics algorithms for co-registration of multi-omics approaches from mass spectrometric and microscopic data sets
    - Integrative assessment of data using multivariate analyses, dimensionality reduction and “pathway”, “signaling” and “enrichment” analyses
    - Development of mathematical and statistical algorithms for the functional evaluation of multimodal imaging data sets as well as development of new bio-informatics analysis methods based on multimodal data sets

    Establishment and analysis of mass spectrometric and microscopic data sets

    - Automated analysis of mass spectrometric and microscopic data sets using segmentation algorithms and AI
    - Establishment of new machine learning algorithms to identify patterns in mass spectrometric and microscopic data sets and integration of research into the collaborative projects
    - Development of methods for “minimal proteomic sample preparation” for LC-MS/MS

    Integration into new “ cutting edge ” technologies and training of students

    - Support of the “Single-cell and spatial multi-omics” working group
    - Supervision of students in bachelor's and master's programs

    Your profile:

    Requirements for the position

    - Scientific degree (master's or diploma) in chemistry, physics, molecular biology, biomedicine, biology or comparable courses
    - You work independently, independently and reliably
    - You are flexible, committed and a team player
    - You have very good computer and English skills

    Desirable knowledge and skills that should be developed as part of the work

    - Initial experience in mass spectrometry, bioinformatics, microscopy, systems biology and immunology
    - Initial experience in analyzing microscopic and mass spectrometric data sets as well as integrative analyzes of systems biology and AI machine learning algorithms
    - Initial experience in software / languages ​​/ applications such as MS Office, Spektronaut, DIA-NN, Proteome Discoverer, R, Python, Cytoscape, ScilsLab, String, GSEA

    Look forward to:

    - A secure job in the public service of the state of North Rhine-Westphalia
    - Fair pay according to the tariff (TV-L) including annual special payment and additional company benefits
    - 30 days vacation per calendar year (with a 5-day week)
    - Interdisciplinary work with colleagues from other departments
    - Working with modern equipment and certified quality standards
    - Family-friendly corporate culture , e.g. E.g. company daycare center, holiday program for school-age children, advice and support from the employee service office in all situations
    - A wide range of further training and further education opportunities , for example in the UK Essen Education Academy
    - Health management , e.g. B. Company integration management, vaccinations, promotion of sports activities
    - Attractive additional services , e.g. discounted canteen meals, community events, dormitory places

    Framework conditions:

    - UK Essen aims to increase the proportion of women in areas where women are underrepresented. You will be asked to apply and, in accordance with the LGG, will be given priority if you have the same qualifications.
    - Severely disabled applicants and those with equal status within the meaning of Section 2 Paragraph 3 SGB IX will be given preferential consideration if they are equally qualified.
    - The classification is based on personal and collective bargaining requirements.
    - If you apply in writing, only submit your documents as uncertified copies and do not use folders, as they will not be returned. Destruction in accordance with data protection regulations is guaranteed.
    - A certificate in accordance with Section 23a of the Infection Protection Act (IfSG) regarding vaccination and serostatus with regard to measles is required.


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