Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
candidate must hold a terminal degree (PhD or MFA). Candidates should have previous teaching experience and a proven ability to mentor students effectively. Preferred qualifications include familiarity with
-
targets specifically amyloidogenic proteins implicated in the diseases like Alzheimer’s and Parkinson’s. Required qualifications A PhD. In the area of synthetic/ medicinal chemistry is rquired. Experience
-
for maintaining genome stability and their roles in human disease. This position is ideal for individuals who are looking to later enter medical school or pursue a PhD degree in biomedical sciences, because it
-
. Machine Learning and Programming 4. Cloud Computing. Desirable education and experience: A Ph.D. in Information Systems, Analytics, Decision Sciences, or a related field from an AACSB-accredited business
-
. Analyze and process healthcare data. Design and perform quantitative experiments, including in collaboration with scientific and clinical collaborators. Develop machine-learning analytics/AI. May mentor
-
. Qualifications: Education Bachelor's degree Bachelor’s degree in a related field of study, preferred. Requires advanced knowledge predominantly intellectual in character in a field of science or learning
-
foundational to complex systems modeling and central to modern machine learning. Candidates whose research includes computational components or contributes to the mathematical foundations of artificial
-
technologies (machine learnings and Artificial Intelligence) into the classroom and research are encouraged to apply. Candidates should be able to teach face-to-face, hybrid, and/or online courses in
-
experiential learning. Research on topics including Indigenous rights, African diaspora, or environmental anthropology would especially complement departmental foci. Experience working in cultural resource
-
the implementation of artificial intelligence and machine learning in design and manufacturing, materials informatics and big data design, smart manufacturing, characterization and processing of materials, scalable