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through the group of Prof Tejpar will put the postdoc in an ideal position to understand how the stromal interactions change under current novel treatments and could be harnessed as future therapies. The
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strong track record of research and publications. Experience with in vivo models and/or immunology (highly desirable). Skills in bioinformatic analysis (e.g., scRNA-seq) are an advantage. Ability to work
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 2 days ago
members generating physiological, imaging, and experimental data to integrate findings across cellular, molecular, and functional levels. Your Profile Ph.D. in molecular biology, bioinformatics, systems
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dynamics and rapidly modify gene flow between populations, thereby affecting host mitochondrial diversity and potentially contributing to reproductive isolation. In this project, the postdoc will investigate
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in TDP-43 type A FTLD patients with or without GRN mutations”, Brain, 2022. Job Description Primary Duties & Responsibilities: Information on being a postdoc at Washington University in St. Louis can
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Systems Duke University – Departments of Mathematics and Biostatistics & Bioinformatics Duke University invites applications for a postdoctoral associate in scientific machine learning (SciML) as part of a
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39 Faculty of Computer Science Startdate: 01.10.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 30.09.2030 Reference no.: 4628 Explore and
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discoveries from bench to bedside and guiding the future of precision medicine in craniofacial surgery. This position is especially suited for candidates with expertise in bioinformatics and scRNA-seq, who
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analysis, to work collaboratively with research teams within Pfizer, and to publish in high-impact journals. By the end of the program, the Postdoc will be proficient in NGS technologies and nucleic acid
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basis of adaptive plasticity and its evolution. The postdoc will take a leading role in, focusing on experimental evolution under novel and variable light environments, integrating multi-omics datasets