Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- France
- Portugal
- Sweden
- Spain
- Netherlands
- Singapore
- Belgium
- Denmark
- Poland
- Norway
- United Arab Emirates
- Italy
- Australia
- Finland
- China
- Luxembourg
- Romania
- Austria
- Canada
- Ireland
- Hong Kong
- Japan
- Worldwide
- Croatia
- Estonia
- Greece
- Malta
- Switzerland
- Cyprus
- Andorra
- Brazil
- Bulgaria
- Czech
- India
- Israel
- Lithuania
- Armenia
- Europe
- New Zealand
- Saudi Arabia
- Slovakia
- Taiwan
- 35 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Mathematics
- Science
- Electrical Engineering
- Earth Sciences
- Materials Science
- Chemistry
- Business
- Linguistics
- Physics
- Environment
- Psychology
- Humanities
- Philosophy
- Law
- Arts and Literature
- Education
- Social Sciences
- Design
- Sports and Recreation
- 14 more »
- « less
-
, Tenured/Tenure-Track, Full Time, Faculty - Computer Science California State University, Fresno College of Science and Mathematics Department of Computer Science http://fresnostate.edu/csm/ Computer Science
-
: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department Description The Department of Emergency Medicine (DEM) provides emergency medical care to over 177,000 patients
-
of novel indoor localization and tracking methods, algorithms, and systems ? Evaluating the performance of such methods, algorithms, and systems via modeling and simulation ? Performance evaluation via
-
models to specialized microscopy tasks and develop algorithms that align image level embeddings across modalities (e.g., fluorescence ↔ electron microscopy ↔ brightfield ↔ …). In collaboration with other
-
analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical
-
inverter topologies (e.g. Dual inverter, 4 bridge inverter) with modern semiconductor devices (GaN, SiC) The aim is to implement own designed algorithms in a signal processor and simulation environment
-
implementing algorithms based on online Sparse Gaussian Processes and advanced probabilistic techniques enabling AUVs to dynamically alter their trajectories, cutting down on uncertainty and improving efficiency
-
quality of water stored therein; b) calibrate and validate models or algorithms based on spectral signatures, associated with in situ validation campaigns; c) extract indicators of spectral signatures
-
at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
-
. This involves formulation, implementation, and validation of novel hybrid models. The study emphasizes methodological innovation, scalable algorithms, and translation to industrially relevant multiphase reactors