A PhD position is available in the 'T cells and Cancer' group headed by Professor Sine Reker Hadrup, DTU Nanotech, the Technical University of Denmark, Kgs. Lyngby.
The 'T cell recognition and Cancer' group is currently consisting of 25-30 people, including Postdocs, PhD students, Technicians and undergraduate students.
The overall aim of the research group is to gain novel insight to T cell recognition of cancer and autoimmune diseases, through use and development of novel technologies.
The PhD student will be responsible for one of the below projects: Experimental project on neoepitope recognition in cancer mice models. Preclinical models for designing optimal vaccination strategies for personalized neoepitope vaccinations. Based on funding from the Innovation Fond Experimental project on T cell recognition in Melanoma. In depth understanding of the epitope landscape and the T cell recognition induced following adoptive T cell transfer. Provide understanding of important cancer rejection antigens and the functional characteristics of T cells correlating to tumor regression. Based on funding from NEYE reaserch fond Bioinformatic project on cancer genomics and neoepitope landscape in cancer and circulation tumor cells. Determine parameters for favourable clinical outcome following immunotherapy and determine if such parameters can be assessed in CTCs. Based on funding from Novo Nordisk research fond We expect the applicant to have experience in: Immunological background with overview of the innate and adaptive immune systems Flow cytometry, FACS and its analysis with FlowJo Further for project 1 and 2: Experience with the use of MHC multimers for T cell detection Expression analysis of RNAseq data using Kallisto, sleuth and edgeR, (further experience with gene ontology analysis using GOrilla, STRING and KEGG) Neoepitope identification pipeline, MuPeXI,GATK4 including WXS pre processing, MuTect2, and HLA typing using OptiType and Polysolver . Experience with following tool: MiXCR and LOHHLA as generel understanding of the use of ASCAT and PyClone Team player, yet with an independent project focus Take responsibilities beyond your individual project You are driven by pushing boundaries High-level research environment and expertise in the relevant field Candidates should have a two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree.
Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the
The assessment of the applicants will be made by professor, Sine Reker Hadrup.
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.
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For instructions on how to apply, please refer to: http://bit.ly/2AOkghc