Thomas de Bel
AI Scientist at Aiosyn- Claim this Profile
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Bio
Experience
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Aiosyn
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Netherlands
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Medical Equipment Manufacturing
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1 - 100 Employee
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AI Scientist
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Jan 2022 - Present
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Radboudumc
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Nijmegen Area, Netherlands
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PHD Student
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Mar 2018 - Present
I am part of the Digital Pathology group at the Radboudumc. My thesis is titled: "Deep learning based histological assessment of the stroma for improved risk stratification of ductal carcinoma in situ (DCIS) patients" I am part of the Digital Pathology group at the Radboudumc. My thesis is titled: "Deep learning based histological assessment of the stroma for improved risk stratification of ductal carcinoma in situ (DCIS) patients"
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Center for Language Studies of the Max Planck Institute for Psycholinguistics
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Nijmegen Area, Netherlands
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Student Assistant
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2016 - 2017
Assisting with experiments, programming experiments & training models for speech recognition. Assisting with experiments, programming experiments & training models for speech recognition.
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Radboud University
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Netherlands
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Research Services
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700 & Above Employee
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Student Assistant
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2015 - 2015
Student Assistant for the course Software Verification. Subjects in this course: temporal logic, type systems, abstract interpretation & theorem proving. Student Assistant for the course Software Verification. Subjects in this course: temporal logic, type systems, abstract interpretation & theorem proving.
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NSFV Morado CF
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Nijmegen
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Wedstrijdsecretaris
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2011 - 2012
- Sponsor Commissie (2012 - 2013) - Sponsor Commissie (2012 - 2013)
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Education
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Radboud University Nijmegen
Master of Science - MS, Data Science -
Radboud University Nijmegen
Bachelor of Science - BS, Computer Science -
Radboud University Nijmegen
Bachelor's degree, Medicine