Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
cognitive neuroscience and machine learning techniques to study learning, cognitive functioning, language processing, and reading acquisition. Candidates will conduct EEG research on implicit statistical
-
cognitive neuroscience and machine learning techniques to study learning, cognitive functioning, language processing, and reading acquisition. Candidates will conduct EEG research on implicit statistical
-
chemistry and quantum dynamics Computational statistical mechanics for biochemistry and/or materials Machine learning for chemical theory, computation and application Computational cheminformatics and data
-
Professor(s) / Associate Professor(s) / Assistant Professor(s), Department of Electronic Engineering
processing, data science and machine learning, antenna and propagation, radio frequency (RF) / microwave engineering and wireless communications, photonics and optical communications, quantum technology, solid
-
for chemistry, including but not limited to: • Quantum chemistry and quantum dynamics • Computational statistical mechanics for biochemistry and/or materials • Machine learning for chemical theory
-
to teach courses in one or more of the following areas: (1) Computer-aided Translation, (2) Translation and Creative Industries, (3) Journalistic Translation or (4) Legal Translation. Excellent command
-
development are necessary. Strong publication records and experience in preparing research proposals are advantageous. Knowledge and experience of other machine learning and artificial intelligence techniques
-
, student-centred university in support of innovative teaching and learning, strategic research, and stakeholder outreach to provide maximum benefit to our communities, we conduct research that advances
-
wide range of careers. The appointee will be required to teach courses in some of the following areas: Computer-aided Translation, Media Translation, Translating Culture, Bilingual Communication in
-
://thebuildingsociety.arch.hku.hk/ . Applicants should possess a Master’s degree in Architecture, specialised in digital fabrication and hands-on making skills. They should be proficient in using computer-controlled fabrication