Post-doctoral Fellow with Experience in Machine - Navarra provincia, España - Clínica Universidad de Navarra

Descripción

Función:
Post-doctoral fellow

• Empresa: Clínica Universidad de Navarra
• Referencia: CUN/006
• Publicada el 5/4/2023
• Publicada hasta el 5/7/202
• Tipo de Contrato: Sin especificar
• Dedicación: Sin especificar
• Localidad: NAVARRA
• Provincia:
• Disponibilidad para viajar: Sin especificar
• Nível Académico

Doctor

• Titulación Académica

Ingeniería Informática (Titulación Universitaria)

Biotecnología (Titulación Universitaria)

Ciencias Biomédicas (Titulación Universitaria)

- Áreas tecnológicas
A-03 Biotecnología

A-031 Bioinformática

A-032 Bioingeniería

• Idiomas

Idioma:
Inglés


Nível Lectura:
Alto


Nível Escrito:
Alto


Nível Conversación:
Alto

• Conocimientos de Informática

- .

Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch) are essential.

• Experiência

• Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch) are essential.

  Strong problemsolving and communication skills are highly desirable for this opportunity.
• Otros

-
Description

Qualifications
Hands-on in Biomedical Informatics, Computational Biology, Computer Science, or a related field is required.

Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch) are essential.

Strong problem-solving and communication skills are highly desirable for this opportunity.


Responsibilities

The pre-doctoral student or post-doctoral fellow will develop and refine machine learning methods for analyzing histopathology, clinical, and multi-omics data, collaborate with our multi-disciplinary team, and publish the findings.

What do we offer?
The position will be based at Clínica Universidad de Navarra, Pamplona (Navarra).

Compensation package will consist of salary and benefits, which will be in accordance with qualifications and experience.