Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- United Kingdom
- Norway
- Germany
- France
- Netherlands
- Denmark
- Belgium
- Hong Kong
- Austria
- Poland
- Singapore
- Australia
- Spain
- Switzerland
- Portugal
- Cyprus
- Italy
- Luxembourg
- China
- Estonia
- Canada
- United Arab Emirates
- Ireland
- Czech
- Finland
- Morocco
- Saudi Arabia
- Barbados
- Brazil
- Europe
- Iceland
- India
- Japan
- Lithuania
- New Zealand
- Taiwan
- Worldwide
- 29 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Science
- Economics
- Mathematics
- Psychology
- Humanities
- Chemistry
- Linguistics
- Materials Science
- Environment
- Business
- Earth Sciences
- Education
- Electrical Engineering
- Social Sciences
- Arts and Literature
- Physics
- Sports and Recreation
- Law
- 12 more »
- « less
-
tracking and mapping, light fields, extended reality (XR) technologies, sim-to-real, synthetic data generation, and advanced computer vision and machine learning techniques. In addition, the group works on
-
with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running natural language processing and machine learning workflows; (3) experimental design
-
English Proficiency in machine learning and large omics data analysis is preferred. Where to apply Website https://www.lih.lu/en/job/?value=JA/PDGMB0326/MD/DIIA Requirements Research FieldComputer science
-
for observational studies Experience with machine learning techniques for patient-level prediction Prior experience working in distributed or federated data networks Familiarity with open-source research ecosystems
-
: · A completed M.Sc. degree in computer science, machine learning, and related fields. · Strong proficiency in English (the working language of the institute). · Capability and willingness
-
applications for a fully funded postdoctoral associate position. This position, available immediately, focuses on developing machine learning and deep learning methods for analyzing large-scale single-cell DNA
-
expertise spanning the full breadth of operations research, including large-scale optimization, applied statistics, military logistics, warfare analysis, and critical infrastructure resilience. Our students
-
of machine learning to the practical tools of deep learning, now available through modern foundation models. For the theory part, the selected candidate will work in close collaboration with
-
systems, large multimodal foundation model training and/or finetuning, and continuous learning pipelines. Experience in multi-modality data analysis (e.g., image, video, text). Experience working in
-
energy consumption in information processing and machine learning (e.g., arXiv:2308.15905); Quantum phenomena in information processing: exploring how quantum effects can be utilized to process information