Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Universitat de Barcelona
- CIC nanoGUNE
- Universitat Oberta de Catalunya
- BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE
- UNIOVI
- UNIVERSIDAD POLITECNICA DE MADRID
- Universidade de Vigo
- University of A Coruña
- BARCELONA SUPERCOMPUTING CENTER
- Barcelona School of Economics
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- Centro Nacional de Investigación Sobre la Evolución Humana, CENIEH
- FUNDACIÓ ESADE - UNIVERSITAT RAMON LLULL
- Fundación IMDEA Materiales
- Fundación Investigación Biomédica del Hospital Universitario de la Princesa
- ICN2
- INSTITUT D'INVESTIGACIO SANITARIA PERE VIRGILI
- ISGLOBAL
- The Spanish National Research Council (CSIC)
- UAB
- Universidad Autonoma de Madrid
- Universidad Europea Miguel de Cervantes
- Universidad de Alcalá
- Universidad de Alicante
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- 15 more »
- « less
-
Field
-
plan • Development of machine learning models for the classification of in vivo Raman spectra, applying chemometric methods. • Simulations and modification of data, advanced data analysis • Carrying out
-
regulatory matters is a great advantage for the position. Important tasks of the work plan • Development of machine learning models for the classification of in vivo Raman spectra, applying chemometric methods
-
work with Prof. M. Ángeles Serrano and Prof. Marián Boguñá at the interface between Network Science and Machine Learning. The goal is to merge the best of the two worlds to produce a new generation of
-
from in vivo Raman spectra • Applying chemometrics methods to machine learning models • Simulations and modification of data • Carrying out Raman measurements in vitro and in vivo • Development
-
to machine learning models • Simulations and modification of data • Carrying out Raman measurements in vitro and in vivo • Development of protocols for biocompatibility and strict compliance with regulations
-
Explainable Machine Learning Research line / Scientific-technical services: Scalable and Explainable Machine Learning TASKS TO BE PERFORMED The purpose of this contract is the collaboration in one of the active
-
C++, Pytorch Al menos 3 años de experiencia en Visión por Computador y en Machine Learning/At least 3 years of experience in Computer Vision and in Machine Learning Specific Requirements Al menos 3
-
. We seek a computer scientist, biomedical engineer, computer engineer, or related field with advanced programming skills (particularly Python) and experience in Deep Learning frameworks (TensorFlow
-
to extend the contract as part of other grants within the lab. The requirements for the position are: PhD degree in an area pertinent to the project, such as applied mathematics, statistics, machine learning
-
of hyperactivity. UA Institute for Computer Research” and “Smart machine learning for business modelling and analysis. Department of Software and Computing Systems.” Reference: I-PI 37-24 Funding agency: Valencia