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Doctoral (TV-L E13, 65 %) and Postdoctoral Researcher Positions (TV-L E13, 100 %) in Microbial Commu
The Jena School for Microbial Communication (JSMC) is an ambitious Graduate School with over 130 doctoral and postdoctoral scientists. We offer structured, interdisciplinary PhD and career training
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workflows within selected ELM use cases by developing code to create semantic annotated data structures. Development of metadata schemas for typical synthetic biology steps and methodologies in ELM research
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of Biology with collaborations at the Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany and the University of Southern Denmark - SDU, Odense, Denmark. The postdoctoral fellow will benefit
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are entitled to an appropriate amount of time during working hours for their own scientific further qualification What we are looking for PhD in life/natural sciences (cell biology, molecular biology, genetics
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and will involve computational and organic chemistry, biophysics and structural biology. The project will be in collaboration with the Gehringer lab, University of Tübingen. Information
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- in a mouse model. In addition, the GLP-1 analog semaglutide will be administered to evaluate its therapeutic effects on metabolic and structural changes. The project will focus on the following areas
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friendly atmosphere of large and interacting communities for e.g. structural biology, molecular cell biology, computational biology, neurobiology, and molecular medicine that encourages lively, open, and
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for candidates with a strong background in membrane biology, structural biology, or protein and lipid biochemistry, and a passion for applying multidisciplinary methods to understand de novo membrane protein
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‑MPs Hypotheses-driven interrogation of mito-MP biology AI‑guided design of therapeutic microproteins If you are excited by the idea of treating microproteins as programmable therapeutic modules and want
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transcriptomic data. • Detect and interpret structural variation from Nanopore/PacBio sequencing. • Build scalable, reproducible pipelines for large genome collections and public databases. • Collaborate closely