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Join the forefront of groundbreaking research at the Beckman Research Institute of , where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research.
The Beckman Research Institute is seeking a Postdoctoral Fellow to Join the Laboratory od Dr. .
Branciamore Lab develops advanced computational methods for studying complex biological systems, merging statistical mechanics, dynamical systems, and Bayesian networks. We collaborate on disease research like leukemia, glioblastoma, Alzheimer's, and sickle cell disease, while also applying our techniques to molecular dynamics simulations of proteins and complexes.
As a successful candidate, you will:
- Develop novel probabilistic network reconstruction techniques that are applicable to dynamical systems and/or spatially resolved systems.
- Contribute to the creation of software tools that simplify the implementation of sophisticated algorithms and models in extensive biomedical research projects.
- Collaborate with a multidisciplinary team consisting of researchers from computational, clinical, and laboratory disciplines such as computational biology, genomics, systems biology, and more for effective problem-solving.
- Generate mathematical and evolutionary models to describe disease evolution.
- Publish groundbreaking findings in prestigious peer-reviewed journals and present them at conferences and seminars.
- Engage in grant writing activities to secure funding for future projects.
Qualifications
Your qualifications should include:
- A PhD degree in Physics, Chemistry, Mathematics, Computer Science or Computational Biology.
- Strong motivation to work as part of a multidisciplinary group.
- Proficiency in programming with at least one programming language.
- Familiarity with mathematics/computational methods is preferred.
- Knowledge in molecular dynamics, network analysis, statistical mechanics, information theory, population genetics, and other related areas are appreciated.
City of Hope is an equal opportunity employer. To learn more about our commitment to diversity, equity, and inclusion, please .
City of Hope is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability.