Sort by
Refine Your Search
-
Listed
-
Employer
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- BARCELONA SUPERCOMPUTING CENTER
- UNIVERSIDAD POLITECNICA DE MADRID
- Nature Careers
- Technical University of Cartagena
- Universidad de Alicante
- Universidade de Vigo
- Universitat de Barcelona
- Universitat de les Illes Balears
- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- Centre for Genomic Regulation
- Fundació Sant Joan de Déu
- INCLIVA Biomedical Research Institute
- IdiPAZ
- University of A Coruña
- ARQUIMEA RESEARCH CENTER
- BCAM-The Basque Center for Applied Mathematics
- Barcelona Beta Brain Research Center
- CSIC
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- Complutense University of Madrid
- ELISAVA
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Fundació Privada Institut d'Investigació Oncològica de Vall d'Hebron (VHIO)
- Fundació per a la Universitat Oberta de Catalunya
- Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM)
- ICCMU
- Institut d'Investigacio Biomedica de Bellvitge (IDIBELL)
- Instituto Murciano de Investigación Biosanitaria Virgen de la Arrixaca (IMIB)
- UNIOVI
- Universitat Politècnica de València
- Universitat de Girona
- 22 more »
- « less
-
Field
-
Description Implement and validate machine learning models and statistical algorithms for data imputation, anomaly detection and uncertainty management in geospatial environments. Collaborate in the preparation
-
Requirements The successful candidate will have analytical and numerical skills in quantum complex systems, and quantum machine learning. Language requeriments - Prior experience The selected candidate must have
-
Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 2 months ago
). - Artificial intelligence and machine learning. - Advanced programming in Python and use of machine learning/bioinformatics libraries. - Software development and database management. - Ability to work in
-
Fundació Privada Institut d'Investigació Oncològica de Vall d'Hebron (VHIO) | Spain | about 1 month ago
.), command-line tools (bwa, samtools, bedtools, etc.) and biological databases (cBioportal, COSMIC…). Fluency in R and/ or Python. Proficiency in English. Knowledge of statistical modelling or machine learning
-
learning. Professional Experience: Have worked using Machine learning. Programming in C, C++. Experience in functions similar to those described will be valued, specifically in the development of research
-
(Machine Learning Force Fields, ML-FF) to simulate gas-phase fragmentation processes via molecular dynamics. Design and maintain a project-focused results database (schema, metadata, upload/retrieval scripts
-
projects using NGS techniques applied to oncology. The candidate will mainly carry out the following tasks: • Analysis of high-throughput omics data with state of the art methods including machine learning
-
the medium and long term. We are looking for a Machine Learning Research Engineer: The ideal candidate will bring deep expertise in state-of-the-art deep learning methods applied to computer vision, 3D
-
): Application of Machine Learning for the prediction of concrete properties. Design and performance of advanced tests on concrete. Implementation of multi-criteria models for the evaluation of sustainability and
-
apply machine learning algorithms with special attention to digital footprint reduction and data privacy. Functions to be developed: Develop methodologies and experiments to measure and optimize