s part of the recently funded CRC1774, a PhD position (100% TV‑L E13, 3 years) in bioin­for­matics is available with the focus on metabolic modeling. The project focuses on enhancing genome-scale metabolic models with infor­mation from large-scale multi-omics datasets and magnet resonance-based metabolic imaging.

The successful candidate will develop and apply compu­ta­tional and statis­tical methods, work with genome-scale metabolic models, and colla­borate closely with resear­chers from bioin­for­matics, basic science, and clinical medicine. The position offers the oppor­tunity to contribute to cutting-edge trans­la­tional research in cardio-diabetes based on compre­hen­sively charac­te­rized clinical cohorts and state-of-the-art techno­logies.

Appli­cants should hold a Master’s degree in bioin­for­matics, compu­ta­tional biology, computer science, data science, or a related field and have experience in programming and data analysis, ideally in C/C++, Rust, Java, R, or Python. Experience with RNA-Seq, metage­nomics, proteomics, metabo­lomics, or related data types is desirable, as is an interest in systems biology and constraint-based modeling. Excellent commu­ni­cation skills in English are essential.

The position is embedded in the integrated research training group (iRTG) of the CRC1774. A struc­tured doctoral program provides lectures, workshops, metho­dology courses, inter­di­sci­plinary exchange oppor­tu­nities, and close mentoring by inter­na­tio­nally recognized scien­tists. Parti­ci­pation in scien­tific confe­rences and national and inter­na­tional colla­bo­ra­tions is actively supported.

Appli­cation:

Please submit the following documents as a single PDF file:

• Letter of motivation (maximum one page)
• Resume in table format
• Complete transcripts, including the diploma certi­fying eligi­bility for university admission (Abitur or equivalent)
• Master’s thesis (or equivalent academic thesis) as a separate PDF file
• An Academic Letter of Recom­men­dation

Appli­ca­tions are reviewed on an ongoing basis and considered as long as the position is available. During the selection inter­views, appli­cants will have the oppor­tunity to present their academic background and motivation in a 5‑minute presen­tation, meet the parti­ci­pating project leaders, and learn about the doctoral project and the training program of the iRTG.

Please submit your appli­cation electro­ni­cally to the iRTG Office (crc1774.application (at) hhu.de). If you have any project-related or organiza­tional questions, please feel free to contact Daniel Doerr (daniel.doerr (at) hhu.de).

The Uniklinik RWTH Achen offers a postdoc­toral position.

Details: https://ukaachen.helixjobs.com/Wissenschaftliche-Mitarbeitende/jobad?prj=60P56328

Postdoc in Compu­ta­tional Biology

Leading the EpiFlaMe consortium
(Memory in Epithelial Cells — Organ Speci­ficity and Cancer)

The group: The candidate will be part of the Compu­ta­tional Systems Biology group at the University of Salzburg, which is headed by Nikolaus Fortelny (https://plus.ac.at/fortelny). The group is focused on integrating single-cell/s­­­patial multi-omics data with biolo­gical knowledge using AI/ML and other compu­ta­tional approaches in cancer and immunology research. We focus on approaches that produce robust, reliable, and ideally inter­pr­e­table results.

The project: EpiFlaMe (Memory in Epithelial Cells — Organ Speci­ficity and Cancer: https://plus.ac.at/epiflame) is a large consortium of seven research groups dedicated to under­standing inflamm­atory memory in epithelia. The postdoc will be supported by a bioin­for­matics technician to coordinate and perform integrative bioin­for­matic data analysis of multi-omics profiles generated by these various groups, focusing on producing a consortium flag-ship publi­cation (similar to Fortelny et al., Nature Immunology, 2024). The project focuses on under­standing epithelial inflamm­atory memory and its relati­onship with cancer develo­pment. Using multi-omics profiling, innovative organoid cell cultures and in-vivo models the consortium will create the first syste­matic molecular map of inflamm­atory memory in epithelial cells across multiple organs. The goal of the EpiFlaMe research program is to lay the foundation for future therapies that can treat chronic inflamm­atory diseases and help prevent tumor formation in an organ-specific way.

The place: The city of Salzburg has ample natural and cultural attrac­tions as well as fast connec­tions to Vienna and Munich. It is surrounded by beautiful lakes and mountains, with various oppor­tu­nities for recrea­tional and sports activities. The university has 18 000 students, and a highly colla­bo­rative research environment in both biome­dical and compu­ta­tional sciences.

Quali­fi­ca­tions:
* PhD in biology, bioin­for­matics, biotech­nology, computer science, statistics, physics, or similar
* Excellent scien­tific thinking and commu­ni­cation, high level of motivation and drive
* Programming (R/python) and other quanti­tative skills (statistics, AI/ML, network biology)
* Experience with (multi-)omics integrative data analysis, single-cell / spatial data, and/or CRISPR screens
* An under­standing of and interest in immunology
* Excellent English and commu­ni­cation skills, especially commu­ni­cation with wet-lab biolo­gists

Details:
* Start date: as soon as possible
* Duration: end of 2029 (project may then be prolonged for 4 years)
* Salary and work hours according to Austrian funding regula­tions
* Place of work: Salzburg, Austria

Our offer:
* Experience in coordi­nating a large research consortium focused on how immunology drives cancer
* Cutting-edge academic environment (https://scholar.google.at/citations?user=IHjaqgkAAAAJ)
* Being part of an inter­na­tional, inter­di­sci­plinary, and fun team and consortium
* Oppor­tu­nities for self-growth through courses for hard and soft skills
* Parti­ci­pation in confe­rences and project meetings
* Excellent social benefits of working in Austria (holidays, health insurance)
* Environment that values a healthy work / life balance

Appli­cation:
https://survey.plus.ac.at/index.php/282137

Deadline:
None — we hire on a rolling basis.

We look forward to hearing from you!