161 coding-"https:" "https:" "https:" "Computer Vision Center" research jobs at Michigan State University
Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
-structured and ethnographic interviews, maintaining detailed fieldnotes and in-process memos, and contributing to qualitative data analysis using flexible coding and concept-mapping approaches. The postdoc
-
, statistics, or a related field. Minimum Requirements Experience using chlorophyll fluorescence using PAM fluorometry, data analysis using mathematical models, and comfort with coding to control custom
-
researcher to join our dynamic animal science and artificial intelligence team. The candidate will develop novel algorithms that advance the use of computer vision in precision livestock farming (PLF
-
conducting and analyzing molecular dynamics simulations Experience using high-performance computing platforms Experience developing neural network models Experience using AI-assisted coding tools for
-
, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status. Required Degree Doctorate -Electrical and Computer Engineering Minimum
-
. The selected candidate will work with Dr. Yuzhen Lu to develop and test automated field-deployed sensing/harvesting systems that may integrate machine vision, artificial intelligence, and mechanisms for
-
, and solvents such as isopropyl alcohol for surface cleaning. Website https://engineering.msu.edu/departments/ece Department Statement The Department of Electrical and Computer Engineering has strong
-
assistance from a Community Health Worker—to reduce pregnancy-related and -associated maternal morbidity and mortality (PRAMM). This study is part of the MSU MIRACLE Center (https://obgyn.msu.edu/the
-
Mathematics or an equivalent area, such as computational chemistry/biology/biophysics and computer science. Applications will be considered from any of the focus areas: AI-based drug design and
-
Website https://quello.msu.edu/ Department Statement The Department of Media and Information brings together faculty from diverse disciplines to advance research in human-computer interaction, human