Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- IRB Barcelona
- Universitat de Barcelona
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- Centre for Genomic Regulation
- FUNDACIÓ ESADE - UNIVERSITAT RAMON LLULL
- ELLIS Unit Alicante Foundation
- IKERLAN
- Institut de Ciències del Mar (ICM-CSIC)
- Institute of Chemical Research of Catalonia ICIQ
- Spanish National Research Council (CSIC)
- UNIVERSIDAD AUTONOMA DE MADRID
- Universidad Politécnica de Madrid
- 2 more »
- « less
-
Field
-
Density Functional Theory and advaced computational techniques and machine learning concepts. The candidate needs to have an interest in atomic-scale modelling and to have performed studies and simulations
-
sectors. The researcher will be joining the research activities of the SAI RU and working on the design and development of distributed and energy-aware machine learning methods for sustainable edge
-
Candidates must send their applications (including CV, PhD diploma and proofs for other merits they wish to be evaluated) through the UAM jobs portal: https://sede.uam.es/sede/piproyectos
-
. Biochemistry/structural biology. Bioinformatics experience is an advantage (experience with setup of pipelines/workflows, experience in big data and machine learning techniques). Knowledge: targeted protein
-
science: PhD or equivalent REQUIRED LANGUAGES SPANISH: Excellent ENGLISH: Good Skills/Qualifications Python or R will be positively valued. Specific Requirements Knowledge of Bayesian networks, machine learning
-
that will concentrate on methods for the enhancement of virtual reality scenarios that are simultaneously shared by multiple people across the world. The PhD will focus on the use of Machine Learning
-
PhD and expertise in an area pertinent to the project and experience in applied mathematics, machine learning, biomedical informatics, advanced statistics, digital health and/or programming. Candidates
-
Title: Replacing the standard model of vision: possibilities for Vision Science, Image Processing and Machine Learning Description The responses of visual neurons, as well as visual perception
-
groups and both short term and extended visits by international leaders in the fields of theoretical biology, artificial intelligence/machine learning, complex systems, physics of life, computer science
-
: PhD in Computer Science, Data Science, Telecommunications or closely related fields. Knowledge and experience in Machine Learning (ML) models applied to different tasks such as prediction