Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Austria
- Germany
- France
- Australia
- Belgium
- Netherlands
- Norway
- Denmark
- Singapore
- Sweden
- Luxembourg
- China
- Spain
- Czech
- India
- Portugal
- Switzerland
- United Arab Emirates
- Canada
- Ireland
- Poland
- Hong Kong
- Italy
- Lithuania
- Romania
- Morocco
- New Zealand
- South Africa
- Andorra
- Armenia
- Barbados
- Croatia
- Cyprus
- Estonia
- Europe
- Finland
- Kyrgyzstan
- Latvia
- Slovenia
- Worldwide
- 32 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Science
- Engineering
- Economics
- Mathematics
- Business
- Chemistry
- Environment
- Humanities
- Linguistics
- Arts and Literature
- Education
- Law
- Social Sciences
- Earth Sciences
- Philosophy
- Materials Science
- Electrical Engineering
- Psychology
- Physics
- Sports and Recreation
- Design
- 14 more »
- « less
-
Apply Now How to Apply To be considered for this position, please only submit materials through our Interfolio Posting: https://apply.interfolio.com/180863 Candidates are asked to submit: a cover
-
information sources and to provide the relevant analysis of all the available variables in different scenarios conditions. In order to reach this goal, deep learning-based algorithms will be implemented
-
Term: Initially 1 year, renewable. Appointment Start Date: As early as February 2026, but flexible Group or Departmental Website: https://med.stanford.edu/bridge-lab.html (link is external) How to Submit
-
terrestrial networks, non-terrestrial network entanglement distribution. Your profile PhD degree in wireless communications, signal processing, machine/deep learning or a closely related field in Electrical and
-
of Mathematical Sciences, University of Delaware The Mathematical Sciences Department (https://mathsci.udel.edu ) at the University of Delaware seeks to appoint two tenure-track assistant professors in the area of
-
) a European master's degree in Computer Science or Electronics Engineering, with excellent ('honors'-level or above) grades. You have a strong foundation in control theory, deep learning or computer
-
of novel mechanistic insights is gained through the application of novel probabilistic deep-learning models that automatically extract biological and statistical knowledge from your in vivo perturbational
-
understanding of advanced programming areas, including modern machine learning and deep learning methods (e.g., MATLAB and Python) Expertise in one or more of the following areas is preferred: mechanical
-
into actionable insights, novel tools, and impactful research outcomes. Key Responsibilities Develop, implement, and optimise AI/ML models (artificial intelligence/classical machine learning, deep learning
-
. Describe a deep learning project you have executed, ideally a creative use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for