Postdoctoral Researcher in Artificial Intelligence for Bioimage Analysis
hace 4 semanas
Postdoctoral Position in Artificial Intelligence Bioimage Analysis
ICFO is seeking a highly motivated and dynamic postdoctoral researcher to join our team at the Quantum Flagship. The successful candidate will be part of the Super-resolution Light Microscopy & Nanoscopy (SLN) Research Facility, led by Dr. Pablo Loza-Alvarez, and will work closely with the Applied AI group at PIC.
The primary objective of this position is to develop algorithms, workflows, and software tools to manage and analyze large amounts of image data generated by fast volumetric imaging microscopes using AI. The successful candidate will be responsible for extracting features and inferring neuron connectivity in an efficient manner.
Responsibilities:
- Developing algorithms and software tools for image data analysis using AI
- Working closely with the Applied AI group at PIC and the microscope development and data taking group at ICFO
- Collaborating with team members, supervisors, and researchers to achieve project goals
- Implementing an agile approach for solving complex problems and fast prototyping
Requirements:
- Ph.D.-equivalent degree in Computer Science, AI, Bioinformatics, or a relevant field
- Experience with deep learning and AI frameworks such as PyTorch, Jax, or TensorFlow
- Experience in Python and data science libraries such as Numpy and Pandas
- Ability to effectively communicate and collaborate with team members, supervisors, and researchers
What We Offer:
- A competitive salary aligned with national Ramon-y-Cajal fellowships and Marie Sklodowska-Curie individual fellowships
- A family allowance available on request and after corresponding approval
- A contract offered for a period of 3 years
ICFO is an equal opportunity employer and selects candidates exclusively on merit and potential based on submitted application material. No restrictions related to disabilities, citizenship, or gender apply to ICFO positions.
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