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Our research aims to explore the potential of using deep learning technology in cancer and health data analysis. We believe that this approach has the potential to significantly improve the accuracy and efficiency of cancer diagnosis and treatment planning, as well as to facilitate the discovery of new insights and patterns in health data. Our study will involve the development and evaluation of deep learning algorithms for analyzing various types of cancer and health data, including medical images, genomic data, and electronic health records. We hope that our research will contribute to the advancement of precision medicine and the development of more effective and personalized approaches to cancer care.
We believe in the potential and capabilities of every student and we are dedicated to helping them achieve their dreams. Your future as a student is full of endless possibilities and we are confident that you will go far. We are committed to supporting you every step of the way on your journey to reach your educational goals. Whether it be through providing resources, guidance, or encouragement, we are here to help you succeed. We dream of a bright future for you as a student and we will do all that we can to help you on your path to success.
We are seeking talented and highly motivated individuals who possess strong character and have competency in machine/deep learning, including natural language processing, biomedical image analysis, and reinforcement learning. In addition, we expect candidates to have strong experience with programming languages such as Python, PyTorch, and JavaScript. If you meet these qualifications and are interested in joining our team, please send us your open application along with your CV and academic transcripts. We welcome applications from qualified candidates and encourage you to apply if you believe you have the skills and experience, we are seeking.
No open positions at this moment.
We are seeking a candidate with skills in Python, PyTorch, Javascript, and SQL. Knowledge of React and Angular is an advantage, as well as a basic understanding of deep learning. This project is suitable as a master’s thesis or for a project researcher and has a possibility of extension.
Position available starting March 15th 2023 or immediately, and lasts for four months with a salary of 2000€/month.
For more information and If you are interested, please send your CV to Dr. Hamid Behravan (hamid.behravan@uef.fi).
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University of Eastern Finland, Institute of Clinical Medicine
Yliopistonranta 1 C, Canthia building, Kuopio, Finland
hamid.behravan[@]uef.fi
+358 50 5139836
Copyright 2023 – Hamid Behravan
