Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- United Kingdom
- France
- Norway
- Germany
- Netherlands
- Belgium
- Denmark
- Hong Kong
- Austria
- Australia
- Singapore
- Spain
- Switzerland
- China
- Luxembourg
- Portugal
- Italy
- Cyprus
- Czech
- Poland
- United Arab Emirates
- Canada
- Ireland
- Morocco
- Brazil
- Estonia
- India
- New Zealand
- Saudi Arabia
- Barbados
- Europe
- Finland
- Iceland
- Japan
- Lithuania
- Slovenia
- Taiwan
- Worldwide
- 30 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Science
- Economics
- Mathematics
- Psychology
- Chemistry
- Linguistics
- Materials Science
- Environment
- Humanities
- Business
- Education
- Physics
- Social Sciences
- Earth Sciences
- Electrical Engineering
- Arts and Literature
- Sports and Recreation
- Law
- 12 more »
- « less
-
and computer scientists PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust
-
Science, Machine Learning, Computational Linguistics or a related field, if applicable with PhD previous experience in Natural Language Processing, knowledge Graphs, Machine Learning or Recommender Systems
-
Operations Research (https://isor.univie.ac.at/) , University of Vienna, is offering a PhD position in the area of Mathematical Statistics and Machine Learning, starting at the earliest possible date, and no
-
learning) and image processing, An interest in optical instrumentation and the medical field, Programming and machine learning skills, Ability to collaborate in an interdisciplinary team, Analytical and
-
assigned. DESIRED QUALIFICATIONS: * Possess a MS and/or PhD in a STEM field with a computational component. * Be comfortable manipulating data sets, particularly large timeseries ones. * Be comfortable in
-
, proteomics, long-read sequencing). Familiarity with machine learning approaches, particularly artificial neural networks, and their application to biological data. Experience with workflow management systems
-
to defining specifications and requirements for the FDI system • Development and evaluation of model-based and machine learning-based FDI algorithms, in close exchange with relevant stakeholders • Close
-
candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically
-
performance, yet their atomic-scale origin and role in reactivity remain poorly understood. The project addresses this open problem by integrating high-throughput Density Functional Theory, machine-learning
-
with leading machine learning frameworks and modern AI environments, including multi-GPU model training and large-scale inference on dozens to hundreds GPUs, are required. Additional Qualifications