Anders Ståhlberg

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The University of Gothenburg’s Sahlgrenska Academy is offering multiple PhD positions in Medical Science, with research projects spanning viral immunology, cancer microenvironment, lung cancer metabolism, pancreatic cancer, and mitochondrial biogenesis. These positions are based at the Institute of Biomedicine and involve collaboration with leading research groups and supervisors, including Professors Davide Angeletti, Göran Landberg, Anders Ståhlberg, Elinor Bexe Lindskog, Per Lindahl, Anna Martner, and Martin Ott. Project topics include: (1) Broadly neutralizing antibodies for therapeutic use against Influenza A virus, focusing on antibody engineering and mucosal immunology; (2) Patient-based model systems for studying the tumor microenvironment in cancer development and progression, utilizing advanced ex vivo models and bioinformatics; (3) Targeting lung cancer metabolism through precision nutrition and glutathione depletion, with emphasis on cancer metabolism and therapeutic vulnerabilities; (4) Role of NOX2-derived reactive oxygen species in pancreatic ductal adenocarcinoma, investigating tumor microenvironment and immune interactions; (5) Structural and functional analyses of mitochondrial biogenesis by cryo-EM, exploring mitochondrial translation and protein biogenesis. All positions are fully funded doctoral employments, with salaries set individually according to university agreements. The duration is four years full-time, with possible departmental duties extending the period. Applicants must have a second-cycle degree or equivalent, proof of English proficiency (English B/6 or equivalent), and relevant academic background. Experience in molecular biology, immunology, cell culture, flow cytometry, bioinformatics, or related fields is advantageous. Some projects require willingness to work with laboratory animals. Personal suitability and collaborative skills are highly valued. Applications must be submitted via the University of Gothenburg’s recruitment portal by 2026-02-23. Required documents include a personal letter, CV, diploma and transcripts, and proof of English proficiency. International applicants should provide additional documentation for degree verification. For more information, visit the university’s doctoral studies pages or contact the respective project supervisors. These positions offer the opportunity to work in a dynamic, international research environment with access to cutting-edge methodologies and collaborative networks. The Sahlgrenska Academy values diversity and equal opportunities, and provides support for international applicants relocating to Gothenburg.

Join MultiD Analyses AB and the University of Gothenburg for a unique PhD opportunity focused on developing innovative bioinformatics and machine learning methods for RNA Fragmentomics, with the ambition to improve cancer care through data-driven diagnostics. This collaborative project addresses the challenge of monitoring cancer treatment efficacy and early relapse detection by analyzing cell-free RNA in patient blood samples. The measurements aim to reveal disease status, tumor response to therapy, and inform treatment strategies. The successful candidate will be employed by MultiD Analyses AB and split their time between MultiD at GoCo Health Innovation City and the University of Gothenburg, Sweden. The academic supervisor is Professor Anders Ståhlberg, with co-supervisors Dr. Martin Smelik and Professor Mikael Kubista. The project is conducted in close collaboration with partners across academia, industry, and healthcare. Research activities include designing new statistical and machine learning models tailored to this emerging omics modality, working with high-dimensional datasets that combine quantitative RNA features, positional fragment data, and clinical variables, and applying methods in ongoing biological and clinical studies with the ambition of implementation in healthcare. The environment is highly collaborative, offering cross-sector research opportunities. Applicants should be highly motivated PhD candidates excited by computational biology, biostatistics, bioinformatics, or data science, and eager to work at the intersection of data-driven life science, translational research, and cancer diagnostics. Methodological innovation and real biomedical applications are central to the project. Eligibility requirements include a completed degree at second-cycle level, or course requirements totaling at least 240 credits (with at least 60 credits at second-cycle level), or equivalent knowledge acquired in Sweden or abroad. Successful completion of English B/6 or equivalent knowledge through previous studies is required. Applicants should include a personal letter and CV with information about programming skills. This position is part of the Data-Driven Life Science (DDLS) program, which combines data, computational methods, and artificial intelligence to study biological systems from molecular structures to human health and ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science aims to recruit and train the next generation of data-driven life scientists and create globally leading computational and data science capabilities in Sweden. In 2026, the DDLS Research School will expand with the recruitment of 25 academic and 7 industrial PhD students, joining a community of more than 260 PhD students and 200 postdocs. The DDLS program covers four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, and epidemiology and biology of infection. For more information about the DDLS program and application instructions, visit the provided links. The future of life science is data-driven—be part of this change by joining this unique program!