[Neuroimaging] 2 open Ph.D. positions in Machine Learning ofr Neuroimaging

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*2 open Ph.D. positions in Machine Learning ofr Neuroimaging*

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SiPBA (Signal Processing and Biomedical Applications) Research 
GroupWebsite:https://sipba.ugr.es/ <https://sipba.ugr.es/>

The SiPBA Research Group is pleased to announce 2 Ph.D. positions in the 
field of Brain Imaging. These scholarships are associated with two 
innovative research projects: "Latent Variable Models for Determining 
the Onset of Neurodegenerative Symptoms (LATiDOS)" and "Statistical 
Signal Processing Tools to Validate Deep Learning Models in Neuroscience 
(VAL-DEEP-SCIENCE)." The selected candidates will have the opportunity 
to pursue a Ph.D. within a maximum period of 48 months.

About the SiPBA Research Group:

The SiPBA Research Group, has extensive experience in developing 
research projects in the field of neuroimage. We use artificial 
intelligence techniques and signal processing to address critical 
challenges related to the detection and diagnosis of neurodegenerative 
diseases such as Alzheimer's, Autism, and Parkinson's. Our mission is to 
contribute to scientific advancement through the application of 
innovative solutions in neuroimaging.

Candidate Requirements:

We are seeking highly motivated individuals seeking a scientific career 
in the field of neuroimage. It is a requisite to hold a master’s degree. 
Ideal candidates should meet the following requirements:

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    A degree in telecommunications engineering, computer science,
    statistics or related disciplines.

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    Expertise in programming (python, matlab and/or R).

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    A strong interest and commitment to conducting cutting-edge research
    in the field of neuroimage and brain image processing.

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    The ability to work collaboratively in a multidisciplinary environment.

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    Exceptional communication skills, both written and verbal.

Contact: illan at ugr.es

SiPBA Research Group is an equal opportunity employer. We value and 
encourage diversity in our research and projects, and we welcome 
candidates from all backgrounds to apply.



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