Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
Huszar | Neil D Lawrence Signal Processing and Communications @ CUED Simon Godsill Back to top Cambridge Machine Learning Group . Follow us on @CambridgeMLG and check out our GitHub Cambridge-MLG
-
of the Max Planck Society for the Advancement of Science. The Department of Machine Learning and Systems Biology , headed by Prof. Dr. Karsten Borgwardt, invites applications for a Postdoctoral Research Fellow
-
machines Machine Culture Ongoing work on social reinforcement learning and evolutionary optimization of social strategies Our aim is to advance the scientific knowledge of human-AI systems by understanding
-
of molecular data. While machine learning has transformed fields such as computer vision and natural language processing, the molecular life sciences remain a rich frontier for methodological innovation
-
, statistical analysis, and machine learning-enabled decision-making • Prototype, integrate, and optimise suitable open-source hardware and software solutions for automated experimentation, including laboratory
-
essential for flagellar protein export, but its presence ensures a robust and efficient assembly process. The project combines bacterial genetics, biochemical approaches, and super-resolution microscopy. Your
-
researcher in Computer Science, Data Science, Human-Computer Interaction, Psychology, Empirical Educational Research, Learning Sciences, Cognitive Science, or related disciplines who is eager to contribute
-
educational data obtained from learning platforms, digital learning tools (e.g., mobile apps), and/or ecological momentary assessments (EMAs). The candidate will work closely with Prof. Kou Murayama, Prof
-
would be desirable: - practical experience with ultra-cold quantum gases and/or atom interferometry - experience in computer aided design (preferably Autodesk) - programming skills
-
will work on a highly interdisciplinary and ambitious research program that aims to apply theory-driven cognitive computational modeling to rich and intensive educational data obtained from learning