PhD Student (gn*) Biological Sciences at Universittsklinikum Mnster
48149 Münster, Nordrhein-Westfalen, Germany -
Full Time


Start Date

Immediate

Expiry Date

19 Jul, 25

Salary

0.0

Posted On

13 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Training Programs, R, Immunology, Immunofluorescence, Programming Languages, English, Biology, Python, Communication Skills

Industry

Information Technology/IT

Description

FIXED-TERM OF 4 YEARS | PART-TIME WITCH 65% | SALARY ACCORDING TO TV-L E13 | INSTITUTE FOR EXPERIMENTAL PATHOLOGY

We are UKM. We have a clear social mission and, with our focus on healthcare, research, and teaching, we bear a unique responsibility.
To meet our high standards every day, we are looking forward to your scientific expertise at the Institute for Experimental Pathology based at the Center for Inflammation Research at the University of Münster – ideally with you on board!

REQUIREMENTS:

  • MSc degree in Biological Sciences
  • Strong background in immunology and/or ageing biology
  • Expertise in one or more of the following areas:
  • Flow cytometry-based phenotyping and sorting
  • Immunofluorescence microscopy and histopathological evaluation
  • Statistical programming languages like R or Python
  • Excellent communication skills in English; proficiency in German desirable but not required
  • Ability to work independently while contributing effectively to collaborative projects
  • Willingness to participate in ongoing training programs to enhance expertise and stay up-to-date with latest methodologies

How To Apply:

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Responsibilities
  • Design and conduct experiments utilizing state-of-the-art approaches such as:
  • Animal models of neutrophil biology and ageing
  • Flow cytometric analysis of immune cell populations from murine tissues using full spectrum flow cytometry
  • Immunohistological staining and imaging of tissue sections using multiplexed immunohistochemistry
  • Biochemical assays for cytokines and other inflammatory mediators
  • Collaborate closely with colleagues across disciplines to integrate findings into a comprehensive model of ageing
  • Analyze data, interpret results, and present conclusions through high-quality publications, presentations, and reports
  • Contribute to manuscript preparation
  • Participate actively in departmental seminars, workshops, and conferences
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