Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Netherlands
- Germany
- Norway
- Denmark
- Belgium
- Spain
- France
- Australia
- Austria
- China
- Switzerland
- United Arab Emirates
- Portugal
- Hong Kong
- Singapore
- Canada
- Luxembourg
- Finland
- Czech
- Poland
- Estonia
- Morocco
- Cyprus
- Greece
- Italy
- Vietnam
- Brazil
- Saudi Arabia
- Japan
- Latvia
- New Zealand
- Taiwan
- Worldwide
- 26 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Science
- Economics
- Mathematics
- Education
- Business
- Earth Sciences
- Environment
- Psychology
- Materials Science
- Chemistry
- Electrical Engineering
- Humanities
- Social Sciences
- Arts and Literature
- Linguistics
- Law
- Physics
- Sports and Recreation
- 12 more »
- « less
-
at Johns Hopkins to advance artificial intelligence and its applications, in part through investments in the software engineering, data science, and machine learning space. The SSEC engineers will be
-
, integrative systems biology, and machine learning. Our research is focused on analyses of data generated within the biological, biomedical, biotechnological and life sciences areas. The section has extended
-
mathematical foundations of data science, machine learning and/or artificial intelligence. Preference will be given to candidates studying either the application of data science/ML/AI to problems in
-
., machine learning). Experience working with large-scale environmental and remotely-sensed datasets, strong proficiency in R and version control tools (such as GitHub), and familiarity with high-performance
-
: Project A – Synthetic Data for Theory-Driven Behavioral Research This project investigates how large language models (LLMs) produce synthetic responses to psychological experiments and how these compare
-
on large-scale sequencing data or murine models. Primary cells will be incorporated into a commercial ToC model (idenTx3), stained with apoptosis and cell death dyes, and imaged using a live-imaging
-
opportunities for collaborations with machine learning and bioinformatics researchers in Computing and Information Systems, biostatisticians in Population and Global Health, big data research in genomics in
-
want to hear from you! Your Job: Work on a wide range of computer vision and machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant
-
, integrative systems biology, and machine learning. Our research is focused on analyses of data generated within the biological, biomedical, biotechnological and life sciences areas. The section has extended
-
, Computational Linguistics, Machine learning, Computer Engineering or related fields Preferred Qualifications: ● Strong experience implementing and training deep learning models in PyTorch, with attention