Fellowship Eligibility
Research Experience
Incoming candidates must possess a PhD degree, or have at least four years of full-time equivalent research experience, by the call deadline.
Mobility requirements
Fellowships are open to candidates of any nationality, who at the time of the deadline for submission of proposals, shall not have resided or carried out their main activity (work, studies, etc.) in Ireland for more than 12 months in the 3 years immediately prior to the deadline for submission date. Compulsory national service and/or short stays such as holidays are not taken into account.
A relaxed mobility rule will also be in place for Career Restart or Reintegration fellows.
Research Areas
Applicants are required to submit a research project proposal in the broad area of -omics driven Precision Oncology. Precision Oncology spans basic to clinical research disciplines including but not limited to translational biology, computational modelling, molecular bioinformatics, biostatistics, statistical genetics and clinical informatics. The programme will be open to individuals with research experience in scientific areas related to precision oncology e.g., biology, medicine, (bio)informatics, computing, biochemistry, physics, mathematics, statistics, engineering etc. Applicants have the opportunity to freely choose their research topic from amongst a broad range of areas in which the host universities have expertise in. DevelopMed’s research falls into three broad areas with key priorities of: Diagnostics, Therapeutics & Drug Development and the Tumour Microenvironment. Each area focuses on combining data from cutting-edge genomics, proteomics, metabolomics (known collectively as “omics”) with advanced imaging technologies to generate molecular profiles that provide a better understanding of how different cancers develop, progress and respond to therapies. Applicants to the DevelopMed programme must apply with a research project which is relevant to one or more of these research areas and priorities. Proposals may be in basic or applied research topics broadly classified within the aforementioned precision oncology themes (e.g. computational modelling, nutrition, obesity, machine learning, immunology etc).
