Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- Norway
- France
- Netherlands
- Belgium
- Denmark
- Spain
- Portugal
- Singapore
- Australia
- China
- Switzerland
- United Arab Emirates
- Austria
- Hong Kong
- Poland
- Luxembourg
- Canada
- Ireland
- Italy
- Czech
- Finland
- Estonia
- Romania
- Cyprus
- Lithuania
- India
- Andorra
- Latvia
- South Africa
- Brazil
- New Zealand
- Saudi Arabia
- Worldwide
- Armenia
- Croatia
- Greece
- Morocco
- Slovenia
- Vietnam
- Barbados
- Bulgaria
- Europe
- Iceland
- Indonesia
- Israel
- Japan
- Kenya
- Malta
- Qatar
- Taiwan
- 44 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Economics
- Science
- Mathematics
- Business
- Chemistry
- Social Sciences
- Education
- Psychology
- Arts and Literature
- Humanities
- Materials Science
- Linguistics
- Electrical Engineering
- Environment
- Earth Sciences
- Law
- Design
- Physics
- Sports and Recreation
- Philosophy
- 14 more »
- « less
-
practical tools deployable in real-world clinical settings. This work is central to a multidisciplinary collaboration bringing together experts in neuroscience, machine learning, and clinical informatics
-
affected by warping, addressing both audio analysis and synthesis tasks. The methodological scope spans stochastic signal processing and machine learning, including hybrid physics‑guided and data‑driven
-
. Joerg Hoffmann at University of Saarland. 2) 1-2 PhD students working with Prof. Hendrik Blockeel and/or Prof. Jesse Davis on the topic of developing novel approaches for learning, compressing, and
-
Adaptive Learning in Brain-Robot Interactions School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year
-
. Research Associate in Bioinformatics and Machine Learning Applications to Stem Cell Bioengineering The School of Biomedical Engineering at the University of British Columbia, Vancouver campus is seeking a
-
analysis Background in biomedicine and digital pathology What we offer Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within
-
Information Eligibility criteria Applicants should hold a PhD in theoretical chemistry, physics, materials science, or a related field; -demonstrate strong expertise in machine learning (regression, neural
-
growth methodology based on real-time growth monitoring enabled by advanced in situ characterization tools (RHEED, ellipsometry, curvature measurements, flux monitoring), coupled with machine-learning (ML
-
comprehensive platform for data extraction, analysis, and version control, providing access to highly curated datasets in a machine learning-friendly format. This PhD is part of the CARES project (Chemically
-
the leadership of Principal Investigator Dr Andrew Siemion. Listen's interdisciplinary research has synergies with many of the department's research priorities, including exoplanet studies, machine learning