About the Opportunity
- Establish ML and XAI based models explaining structural aspects of biomolecular systems
- Design and implement research ideas independently and in association with the supervisor and other collaborators
- Perform simulations and analyze large-scale data utilizing robust statistical methods
- Provide meticulous documentation, code development, maintenance, and summarization of results
- Develop and write reports, publications, and grants
- Attend and participate in research meetings and seminars
- Participate in career development training workshops / sessions and networking opportunities for research and mentoring
- Guide and mentor graduate or undergraduate students, including participation in training to improve these skills as needed
- Foster a safe, inclusive, and collaborative environment.
It is expected that the postdoctoral associate will develop and execute a career development plan in coordination with the PI.
About our lab : The overarching goal in our laboratory is to develop novel computer-driven solutions to glycoprotein-based biomedical challenges.
Two independent thrusts targeting viral vaccine engineering and biomaterial design form the current research focus. This is a cross-disciplinary group at the interface of Chemical Engineering, Biochemistry, Physics and Computer Science.
All research is expected to occur in association with other experimental collaborators (both intra- and extramural).
Qualifications :
Must have a Ph.D. or equivalent; be able to undertake substantially full-time research or scholarship; work under the supervision of a senior scholar.
This position requires excellent communication skills, both interpersonal and scientific, oral, and written. Strong background and experience with applications of machine learning (especially Explainable Artificial Intelligence XAI) is required.
All candidates should provide a detailed CV, research statement and contact information of three or more academic / professional references.
Preferred Qualifications :
Candidates should be enthusiastic about working in a fast-paced, interdisciplinary, and multi-project environment. The successful candidate will be able to work both independently and collaboratively.
Expertise in any of the following techniques in addition to those mentioned above is additional asset : all-atom and coarse-grained molecular dynamics simulations, multi-scale approaches, enhanced sampling methods, Markov processes, knowledge in the field of glycosciences.
Position Type
Research
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