We are seeking two highly motivated PhD candidates to embark on an exciting project focusing on the development of a comprehensive multi-scale model of the immune system, with a particular emphasis on inflammation and its role in cardiometabolic diseases (CMD). The project aims to identify new therapeutic strategies to mitigate inflammation and disease progression in CMD. The PhD candidate will develop hybrid mathematical-AI models that integrate mechanistic insights with AI methodologies, addressing challenges related to data scarcity, lack of robustness and generalization of existing data-driven models. The model will be trained on multi-omics datasets and will encapsulate known macrophage and T-cell biology.
Two positions are currently available:
www.miracle-dn.eu/miracle-network/dc4
www.miracle-dn.eu/miracle-network/dc10
REQUIRED EDUCATION LEVEL
A degree (MSc, or equivalent) in Health or Life Sciences (Biology, Microbiology, Molecular Biology, Immunology, Biomedical Sciences, Biochemistry or closely related fields). Candidates in the final stages of obtaining their degree are eligible to apply.
REQUIRED LANGUAGES
ENGLISH: Excellent, both written and spoken.
SKILLS/QUALIFICATIONS
We expect a Master´s degree (or equivalent) in Health and/or Life Sciences. Furthermore, the applicant should be able to perform team-oriented as well as independent work. Desirable methodological skills: excellent background in two or more of the following: molecular biology, biochemistry, cell biology, immunology and/or microbiology, hands-on knowledge of analytical methods.
ELIGIBILITY
Applicants can be of any nationality and must be Doctoral Candidates at the date of recruitment by Amsterdam UMC and have not been awarded a doctoral degree. Furthermore, the applicant must not have resided or carried out their main activity (work, studies, etc.) in the country of the recruiting beneficiary (Netherlands) for more than 12 months in the 36 months immediately before their recruitment date.
Please submit your application materials, including a cover letter, CV, list of publications, and names of referees, to Prof. María Rodríguez Martínez via email (maria.rodriguezmartinez_at_yale.edu).