Sort by
Refine Your Search
-
environment to apply. Outstanding Benefits Package Learn more: Our benefits , where we prioritize your well-being and success to enhance every aspect of your life. Being a part of the University at Buffalo
-
lead classroom, laboratory/simulated, and hospital/community student learning experiences. Use of Information Technology Services such as computer/audiovisual technology, testing vendor (Ex. ExamSoft
-
hired in CSE is expected to focus broadly on the areas of natural language processing, artificial intelligence, machine learning, and information retrieval. The cluster will emphasize a new model for
-
: Artificial Intelligence / Machine Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics
-
research laboratory Desire and ability to learn new skills quickly Computer and/or electronic skills (e.g., Arduino Microcontrollers) Strong written and verbal communication skills Organized, self-motivated
-
doctorate degree in bioinformatics or a related field and strong expertise in oral health research and/or cancer biology, as well as strong statistical, machine-learning, data science, and computational
-
processes, ensuring personalized interactions, and demonstrating computer skills. Join our team and make every customer interaction memorable! You’d be a great fit if you like: Keeping records and calendars
-
biology, and RNA biology. The primary goal will be to elucidate the mechanisms of gene regulation by characterizing multi-component machines responsible for RNA processing, modification, and decay. Under
-
their circuits during behavior using optogenetics, and human organoid models. We combine these experiments with significant computational approaches including machine learning, neural network modeling
-
Advising IAD students. We are particularly interested in candidates with experience in and a passion for teaching courses in machine learning, artificial intelligence, data-intensive computing, data mining