Rutgers University
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Post Doc Associate
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Rutgers University 3 weeks ago Be among the first 25 applicants Join to apply for the
Post Doc Associate
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Rutgers University Posting Summary
In this position, the post doctorial associate will use robotics driven by machine learning / artificial intelligence to explore the self-assembly of polymers and their interactions with proteins. The Gormley Lab has been developing these data driven tools to explore highly complex problems in macromolecular chemistry. It is our strong belief that machine learning, when complemented with an automated workflow, provides an ideal platform for designing advanced nanomaterials that are perhaps too complex to rationally design. This project is highly cross-disciplinary and requires expertise in data science, machine learning, and programming in Python. Additional experience in polymer synthesis/characterization, macromolecular characterization, enzymes, and basic assays are ideal. Willing to consider candidates who are computational only, as long as they see themselves applying machine learning tools to physical problems in macromolecular chemistry. Due to the multidisciplinary nature of the project, the candidate will be expected to collaborate heavily with others in the Gormley Lab as well as other labs at Rutgers and Princeton University. We are hoping to hire two post doctorial associates for a set of projects. The listed projects are fully supported by NIH and NSF grants. Posting Summary
In this position, the post doctorial associate will use robotics driven by machine learning / artificial intelligence to explore the self-assembly of polymers and their interactions with proteins. The Gormley Lab has been developing these data driven tools to explore highly complex problems in macromolecular chemistry. It is our strong belief that machine learning, when complemented with an automated workflow, provides an ideal platform for designing advanced nanomaterials that are perhaps too complex to rationally design. This project is highly cross-disciplinary and requires expertise in data science, machine learning, and programming in Python. Additional experience in polymer synthesis/characterization, macromolecular characterization, enzymes, and basic assays are ideal. Willing to consider candidates who are computational only, as long as they see themselves applying machine learning tools to physical problems in macromolecular chemistry. Due to the multidisciplinary nature of the project, the candidate will be expected to collaborate heavily with others in the Gormley Lab as well as other labs at Rutgers and Princeton University. We are hoping to hire two post doctorial associates for a set of projects. The listed projects are fully supported by NIH and NSF grants.
Preferred Qualifications
Familiarity with nanomaterials (synthesis, functionalization, and characterization) and enzymes is preferred. Evidence of a strong publication track record and working well in teams. Seniority level
Seniority level Internship Employment type
Employment type Full-time Job function
Job function Research, Analyst, and Information Technology Industries Higher Education Referrals increase your chances of interviewing at Rutgers University by 2x Sign in to set job alerts for “Postdoctoral Associate” roles.
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Post Doc Associate
role at
Rutgers University 3 weeks ago Be among the first 25 applicants Join to apply for the
Post Doc Associate
role at
Rutgers University Posting Summary
In this position, the post doctorial associate will use robotics driven by machine learning / artificial intelligence to explore the self-assembly of polymers and their interactions with proteins. The Gormley Lab has been developing these data driven tools to explore highly complex problems in macromolecular chemistry. It is our strong belief that machine learning, when complemented with an automated workflow, provides an ideal platform for designing advanced nanomaterials that are perhaps too complex to rationally design. This project is highly cross-disciplinary and requires expertise in data science, machine learning, and programming in Python. Additional experience in polymer synthesis/characterization, macromolecular characterization, enzymes, and basic assays are ideal. Willing to consider candidates who are computational only, as long as they see themselves applying machine learning tools to physical problems in macromolecular chemistry. Due to the multidisciplinary nature of the project, the candidate will be expected to collaborate heavily with others in the Gormley Lab as well as other labs at Rutgers and Princeton University. We are hoping to hire two post doctorial associates for a set of projects. The listed projects are fully supported by NIH and NSF grants. Posting Summary
In this position, the post doctorial associate will use robotics driven by machine learning / artificial intelligence to explore the self-assembly of polymers and their interactions with proteins. The Gormley Lab has been developing these data driven tools to explore highly complex problems in macromolecular chemistry. It is our strong belief that machine learning, when complemented with an automated workflow, provides an ideal platform for designing advanced nanomaterials that are perhaps too complex to rationally design. This project is highly cross-disciplinary and requires expertise in data science, machine learning, and programming in Python. Additional experience in polymer synthesis/characterization, macromolecular characterization, enzymes, and basic assays are ideal. Willing to consider candidates who are computational only, as long as they see themselves applying machine learning tools to physical problems in macromolecular chemistry. Due to the multidisciplinary nature of the project, the candidate will be expected to collaborate heavily with others in the Gormley Lab as well as other labs at Rutgers and Princeton University. We are hoping to hire two post doctorial associates for a set of projects. The listed projects are fully supported by NIH and NSF grants.
Preferred Qualifications
Familiarity with nanomaterials (synthesis, functionalization, and characterization) and enzymes is preferred. Evidence of a strong publication track record and working well in teams. Seniority level
Seniority level Internship Employment type
Employment type Full-time Job function
Job function Research, Analyst, and Information Technology Industries Higher Education Referrals increase your chances of interviewing at Rutgers University by 2x Sign in to set job alerts for “Postdoctoral Associate” roles.
New Brunswick, NJ $20,000.00-$20,000.00 1 week ago Piscataway, NJ $20,000.00-$20,000.00 3 weeks ago POST-DOCTORAL ASSOCIATE ( Multiple Openings)
New Brunswick, NJ $20,000.00-$20,000.00 1 month ago Post-doctoral Associate in Vaccinium Chemistry
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Piscataway, NJ $61,805.00-$61,805.00 2 months ago Newark, NJ $20,000.00-$20,000.00 2 months ago Post Doctoral Fellow (Multiple Positions)
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New Brunswick, NJ $61,805.00-$75,000.00 3 weeks ago Piscataway, NJ $62,000.00-$80,900.00 1 month ago Postdoctoral Associate in Personalized Medicine - Torres
Piscataway, NJ $94,000.00-$96,000.00 5 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr