Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of A Coruña
- FUNDACIÓ BOSCH I GIMPERA
- UNIVERSIDAD POLITECNICA DE MADRID
- BCAM - BASQUE CENTER FOR APPLIED MATHEMATICS
- Center for Infectious Disease Research, Westlake University
- Centre for Genomic Regulation
- Hong Kong University of Science and Technology (Guangzhou)(Society Hub)
- IBIMA Plataforma BIONAND
- IdiPAZ
- Mimark Diagnostics sl
- Teladoc Health
- Universidad de Huelva
- Universidade de Vigo
- Universitat de Barcelona
- g2-Zero
- 6 more »
- « less
-
Field
-
Specific Requirements Bachelor's/Engineer/Graduate + Master's degree or equivalent qualification granting access to doctoral studies with demonstrable knowledge in artificial intelligence, deep learning
-
angiograms. Study and selection of object detection techniques based on deep learning. Training detection algorithms: Detection models will be trained using a dataset of annotated coronary angiography images
-
multiple hospitals to ease the ingestion by the predictive models. Expertise in machine learning (ML) and deep learning (DL) is also valuable. The datasets may consist of 2D, 3D and 4D images from X-ray, US
-
Description Mission -Collaborate with the technical manager of the marine mammal detection project. Functions to be developed -Program deep learning and signal processing algorithms, and perform tests. -Treat
-
Desarrollo de algoritmos de clasificación basados en aprendizaje profundo. Desarrollo de algoritmos de procesado de señal e imagen médica. Development of algorithms for classification based on deep learning
-
-technical services: Development of generalizable deep learning models for the analysis of multivariate medical timeseries on distributed data sources. ACTIVITIES The contract is framed within the research
-
workzone monitoring 45 Item nº3 Knowledge about Deep Learning development for Workzone Monitoring 15 Item nº4 Persona interview 15 Additional Information Benefits 1.750,00 € (including the apportionments
-
, engineering, or a related field. -Self-driven individual with strong ML theoretical background and passionate about learning new approaches, techniques, and tools. -Deep knowledge of probability, statistics
-
: Develop applications in the field of machine learning and generative deep learning for the generation of synthetic data of different modalities in biomedical domains. Functions to be developed: Implement
-
fields mentioned above or any other related fields; At least 6 years proven teaching commitment and performance in higher education sector (experiences in interdisciplinary teaching are preferable); A deep