Tal Naor, Ph.D.

Research Engineer at Nanox AI

Tal Naor, Ph.D. has a diverse work experience in various roles and industries. Starting in 2013, Tal worked as a team member and biological researcher for the iGEM Competition. In 2017, Tal joined the Faculty of Biomedical Engineering at Technion as a PHD Student in BioMedical Engineering, where they remained until November 2021. Tal then worked as a Research Assistant at Technion R&D Ltd. from December 2021 to February 2022. In 2022, Tal transitioned to DataCamp, initially serving as a Data Scientist from March to May, followed by a role as a Machine Learning Scientist from May to June. Currently, Tal is employed as a Research Engineer at Nanox AI.

Tal Naor, Ph.D. has a diverse educational background in the fields of data science, biomedical engineering, biology/system microbiology, and biotechnology and food engineering.

In 2010, Tal began their undergraduate studies at the Faculty of Biotechnology and Food Engineering at Technion - Israel Institute of Technology. They pursued a Bachelor of Science degree in Biotechnology and Food Engineering, completing their studies in 2014.

Continuing their education, Tal joined the Technion once again in 2014, this time at the Faculty of Biomedical Engineering, where they pursued a Master of Science degree in Biology/System Microbiology. They successfully completed their Master's program in 2017.

In 2017, Tal furthered their academic journey and embarked on a Doctor of Philosophy program at the Faculty of Biomedical Engineering, Technion. Their field of study during their Ph.D. was biomedical engineering, and they successfully defended their Ph.D. thesis in 2022, obtaining the degree.

To enhance their expertise, Tal pursued additional certifications and attended the "EMBL Conference: Chromatin and Epigenetics" held by EMBL in May 2021.

Furthermore, in 2022, Tal engaged in a short-term program at DataCamp, titled "Career Track #280828," focusing on becoming a Data Scientist with Python.

Tal Naor, Ph.D. has a robust educational background spanning various disciplines, including data science, biomedical engineering, biology/system microbiology, and biotechnology and food engineering.

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