Morten Nielsen

A PhD position in Immunoinformatics is available at the Section for Bioinformatics, DTU Health-Tech, Technical University of Denmark. This opportunity is part of the IEDB initiative and focuses on leveraging cutting-edge machine learning and data mining techniques to advance our understanding of T and B cell immunogenicity. The position offers a strong foundation for those aiming to establish a scientific career in the intersection of bioinformatics, immunology, and computational biology. The successful candidate will join a vibrant research environment at DTU Health-Tech, working under the supervision of Professor Morten Nielsen. The research will involve developing and applying computational models to analyze immunological data, with the goal of uncovering the rules that define immune cell responses. The project is ideal for candidates with a background in bioinformatics, computer science, or related fields, and a keen interest in immunology and health technology. Applicants should hold a relevant master's degree and possess experience in machine learning and data mining. The position is based in Copenhagen, Denmark, and is associated with the Technical University of Denmark, a leading institution in health technology research. While specific funding details are not provided in the announcement, further information may be available on the DTU career site or upon direct inquiry. To apply, candidates should visit the DTU career site and search for the PhD position in Immunoinformatics at DTU Health-Tech. The application process and additional details can be found through the provided links. This is an excellent opportunity for motivated individuals interested in computational immunology and bioinformatics research.

A postdoctoral position is available in the field of immunoinformatics and prediction of T cell immunogenicity at the Section for Bioinformatics, DTU Health-Tech, Technical University of Denmark. The position is part of a collaboration with a leading pharmaceutical company and focuses on computational approaches to predict T cell activation and immunogenicity. The successful candidate will join a dynamic research environment at DTU, working closely with Professor Morten Nielsen and other experts in bioinformatics and immunology. Key research areas include immunoinformatics, T cell biology, computational modeling, and health technology. The project aims to advance the understanding and prediction of immune responses, with potential applications in vaccine development and immunotherapy. Candidates should have a strong background in bioinformatics, immunology, or computational biology, and experience with prediction modeling and data analysis is highly desirable. The position offers the opportunity to work in a collaborative and interdisciplinary setting, leveraging state-of-the-art computational resources and benefiting from industry partnerships. While specific funding details are not provided, the postdoc is fully funded as part of the research collaboration. Applicants are encouraged to review the full job description and application instructions via the DTU career site link provided. For more information, contact Professor Morten Nielsen or visit the DTU Health-Tech website. Interested candidates should prepare their CV and supporting documents and apply through the online portal.

Postdoc opportunity at the Technical University of Denmark (DTU Health-Tech) in prediction of T cell immunogenicity , immunoinformatics , and bioinformatics . The position is part of a collaboration with a leading pharma company and focuses on one of immunology’s key open questions: understanding the rules and features that drive T cell activation by MHC-presented peptides . The successful candidate will join a research team working at the interface of computational biology, immunology, and predictive modeling. Announcer / potential supervisor: Professor Morten Nielsen , DTU - Technical University of Denmark, Copenhagen, Denmark. Research areas and keywords: immunoinformatics, T cell immunogenicity, T cell activation, MHC peptides, bioinformatics, immunology, computational prediction. Eligibility highlights: the post explicitly seeks a highly talented and motivated postdoc candidate . No further requirements such as degree specifics, language tests, or GPA thresholds are stated in the provided text. Funding: the post mentions a collaboration with a leading pharma company, but no detailed salary, stipend, or funding package is given in the text provided. Application: see the DTU Career Site posting for the full job description and application instructions. The post includes a direct job link and a LinkedIn post link for more information.