Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- UNIVERSIDAD POLITECNICA DE MADRID
- Fundació per a la Universitat Oberta de Catalunya
- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- CIC energiGUNE
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
- Barcelona Supercomputing Center (BSC)
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- Computer Vision Center
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- FUNDACIÓN CANARIA PARQUE CIENTÍFICO TECNOLÓGICO
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- ICN2
- IRTA
- Institute for bioengineering of Catalonia, IBEC
- Institute of Photonic Sciences
- Instituto de Neurociencias de Alicante, CSIC-UMH
- Universidad de Alicante
- Universidad de León
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Universitat Pompeu Fabra
- Universitat Pompeu Fabra - Department / School of Engineering
- University of A Coruña
- 12 more »
- « less
-
Field
-
Requirements Experience in the development of software solutions that allow the anonymization or pseudonymization of named entities and sensitive data. Machine learning/deep learning training. Good level of
-
general ability and affinity to using computer tools and programs. We employ tools and create methods, so abilities to handle tools and willingness to learn more are needed. LanguagesENGLISHLevelExcellent
-
Computer engineering, Data Science, Mathematics or equivalent, with focus on energy modelling and electricity markets. Proven experience (>2 years) in energy systems modelling, machine learning or artificial
-
sequences, networks, trajectories, images, etc. - Design, programming, optimization, and parallelization of machine learning algorithms. - Search in repositories and bioinformatics of DNA sequences
-
Experience in machine learning techniques Postdoc 3: Experience in the computation and analysis of hydrodynamic cosmological simulations of galaxy formation and evolution Experience in simulations
-
positivamentela experiencia/conocimiento en algunas de las siguientes áreas: lenguajes de programación (Python, JavaScript), técnicas y herramientas software de análisis de datos, machine/deep learning (Pandas
-
children's behaviour in their learning process with interactive devices and the influence of their peers. The aim is to advance theory and empirical knowledge about learning processes and child development
-
nature of the tasks involved. About the UOC A leader in e-learning, our pioneering university is a digital native with global reach and a mandate for public service. We've been providing accredited, high
-
of this annex, as well as to: Programming in Python and R. Statistical classification and machine learning methods: SVM, neural networks and logistic regression. 3.2. Qualification: Official Master’s degree in
-
: Good level in spoken and written English (C1 level). Good computer skills (Word, Excel, Access, SPSS or similar, webpage, webmail). Experience and knowledge: Required: Experience in the diagnosis and