Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, chemical engineering, computer engineering, electrical engineering, industrial engineering, mechanical engineering, and microelectronics engineering as well as four Ph.D. degrees in biomedical and chemical
-
hold a Norwegian PhD or an equivalent degree within information science or related field with a focus on Human-computer interaction. The applicant must have submitted their doctoral thesis for assessment
-
university in Ohio for the student experience. Essential Functions • Teach undergraduate and graduate courses; supervise Master’s and PhD student research • Maintain an active research program that results in
-
science, psychology, sociology, communication, human-computer interaction, statistics, applied mathematics, or a closely related discipline. Required Qualifications: Evidence of the ability to define and
-
training, education, or certification in a secondary area (beyond the main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision
-
physics. The department hosts active research groups in areas such as software engineering, artificial intelligence, robotics, human-computer interaction and sensor networks, and collaborates closely with
-
Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
or equivalent experience in machine learning or a related quantitative field (Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be
-
(UCSF) to develop the frontier of artificial intelligence (AI), machine learning, computer science, and statistics to accelerate advances in biomedical research. About the Center for Computational Biology
-
of data science, artificial intelligence, statistics, and computing in the context of real-world and domain-specific problems. The Committee on Data Science (codas.uchicago.edu ) is the home of data science
-
of foundational and agentic AI models (LLMs, generative AI, RAG-based architectures) for autonomous, context-aware decision-making. Researching and implementing trustworthy human-machine interaction methods