Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- IdiPAZ
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- BARCELONA SUPERCOMPUTING CENTER
- Centre Internacional de Mètodes Numèrics en la Enginyeria
- FUNDACIÓ ESADE - UNIVERSITAT RAMON LLULL
- Fluendo S.A.
- ICN2
- IRB Barcelona
- ISGLOBAL
- Institute for bioengineering of Catalonia, IBEC
- Universitat de Barcelona
- Universitat pompeu fabra
- 2 more »
- « less
-
Field
-
python Ability to apply statistical concepts to biological settings Competences: Excellent interpersonal and communication skills. Ability to learn new biological concepts Ability to work in multiple
-
Infrastructure? No Offer Description Mission: Implement an optimization method in the general methodology developed. Functions to be developed: Develop a data optimization module using Python, based on criteria
-
Profile: Statistical and programming capabilities in python, especially related to AI frameworks. Flexible, self-motivating, able to manage multiple tasks efficiently, and a team player. Fluency in English
-
working with a big variety of frameworks and APIs across multiple operating systems and devices (desktops, embedded, mobile, cloud). Where to apply Website https://fluendo.talentclue.com/en/node/120757426
-
skills in Python and experience with deep learning frameworks such as PyTorch or TensorFlow, as well as familiarity with medical image analysis and computer vision. Experience in federated learning, AI
-
an advantage. The selected candidate will perform the following duties: -Explore high-dimensional phenotypic data (genomics, transcriptomics, methylomics, metabolomics, proteomics, and imaging, across multiple
-
imaging, across multiple experimental conditions) to better understand disease biology and how these diseases are grouped and classified. -Interact with stakeholders to identify the evidence needed
-
interfacing, thin-film technology and nanofabrication, growth and characterization techniques and neural data analysis. The research assistant will specialize in multiple facets of neural interfaces development
-
project, in collaboration with senior team members. Assist in the analysis of speech data from patients with mental disorders (especially psychosis) using NLP and large language models, across multiple
-
support is sparse, exploring the interaction between the discretization in multiple patches and material modelling related aspects to assess the impact of the discretization. All these implementations will