60 phd-computer-artificial-machine-human Postdoctoral positions at Northeastern University
Sort by
Refine Your Search
-
functional theory) and high-performance computing. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to
-
frameworks, while beneficial in some contexts, may pose obstacles in environmental science education. This project explores how intuitive thinking plays a role in shaping student understanding of human-nature
-
administration. May present research. The appointment generally does not extend beyond two years. Will have a key role in establishing a new robotics research effort in human-centered robotics, including
-
organizing talks, attending workshops, and contributing to collaborative projects that explore the intersection of complex systems and public health. Qualifications PhD in a related discipline (e.g
-
organizing talks, attending workshops, and contributing to collaborative projects that explore the intersection of complex systems and public health. Qualifications PhD in a related discipline (e.g
-
QUALIFICATIONS PhD in Biochemistry, Molecular Biology, Plant Biology, or a related field; Proven experience in the field of plant medicinal natural product biochemistry; Proficiency in molecular cloning, protein
-
(broadly defined), molecular dynamics simulations, sampling techniques, machine learning, or quantum computing are big pluses. The candidate should have good communication skills, both oral and written, and
-
About the Opportunity SUMMARY The lab of Professor Albert-László Barabási is looking for Postdoctoral Research Associates in the area of network science, nutrition, biological networks, machine
-
does not extend beyond two years. Will have a key role in establishing a new robotics research effort in human-centered robotics, including selecting appropriate robotic platforms for purchase, building
-
, is seeking highly motivated candidates for multiple postdoctoral positions. We are specifically looking for candidates who possess a strong background in theoretical and computational modeling