Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research
-
/ *This position is fully paid and visa may be arranged Basic Qualifications • Bachelor’s or master’s degree in economics, mathematics, statistics, computer science, or related fields • Strong quantitative and
-
Details Title Research Fellow in Bioprinting School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description The Lewis Lab seeks a talented and
-
, scientists, clinicians and artists that work at the intersection of art, cell biology, design, materials science, and computational modeling. Insta: Studio_DBG YouTube: Disease Biophysics Group Website
-
in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications
-
School: Faculty of Arts and Sciences Position Description: Dumbarton Oaks invites applications for a Postdoctoral Fellow in Plant Humanities to further the goals of the Plant Humanities Lab , an open
-
Details Title POST-DOCTORAL FELLOW IN CANCER RESEARCH – SPATIAL BIOLOGY AND PRECISION ONCOLOGY School Harvard Medical School Department/Area Harvard Program in Therapeutic Science Position
-
brief description of past research accomplishments and future research goals, a current CV, and contact information for three references. Basic Qualifications Ph.D. in biology, computational and data
-
, Mechanical Engineering, Computer Science, or a related field for biomechanics and assistive robotics is required by the time the position starts. Additional Qualifications Some background in coding, controls
-
, bioinformatics, biostatistics, molecular microbiology, computer science, and software development. PRINCIPAL DUTIES AND RESPONSIBILITIES (Essential Functions) Facility with analytical methods for microbiome data