Novartis bietet als globales Pharmaunternehmen ein multikulturelles Arbeitsumfeld. Die vielfältigen und dynamischen Teams arbeiten gemeinsam an der Verwirklichung innovativer Produkte.
The Department of Chemical Biology and Therapeutics at NIBR performs cutting-edge research applying machine learning (particularly deep learning) methods on rich biomedical data to impact drug discovery. We train deep neural networks for classification and clustering tasks to gain insights into chemistry and biology.
The internship will provide an opportunity to experiment with deep neural networks on biomedical data, and to develop and implement advanced deep learning methods to address drug discovery questions. The duration of the internship is expected to be around 6 months with the possibility of extension. The intern project aims to result in scientific publications on high-impact research journals.
• Currently enrolled at a university as a Masters or PhD student or a recent Masters in Bioinformatics, Biomedical Sciences, Mathematics/Statistics or Engineering • Excellent oral and written communication skills in English • Good familiarity with quantitative methods and/or modeling in one-two domains among the following: mathematical, statistical, biological, programming, computational sciences • Prior programming experience, preferably in Python • Experience with deep neural network frameworks such as Caffe or Tensorflow is a plus.
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