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, and will apply deep learning to integrate the analysis flows. The PhD student will develop the method and apply to numerous in-house samples of environmental sequences, pushing the boundaries of RNA
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the country, substantially equivalent knowledge strong programming skills, esp. deep learning prior education and research experience in machine learning In addition to the above, there is also a mandatory
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. The long-term goal is to enable targeted interventions for the right individuals, based on their lifestyle, disease trajectories, and molecular profiles. To achieve this, we will apply deep learning models
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highly recognized research. More information about us, please visit: The Department of Biochemistry and Biophysics . Project description The successful candidate will develop machine learning (ML
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learning, deep learning and relevant software framework (R and Python) is highly desired. Very good oral and written communication skills in English are required. Emphasis will also be given on personal
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for the study of human bone and marrow, and, more specifically, with focus on the analysis of microscopy data with Deep Learning. Doctoral studies comprises four years of full-time study, and leads to a doctoral
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use the data to train deep learning models of cancer. This allows us to identify systems-level mechanisms that can be used to uncover new biomarkers, drug targets, and paths to drug resistance. We
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and classify biological parameters extracted from microscopy data of e.g. cells and microorganisms in cultures and tissue samples. Experience with deep learning frameworks. Proficiency with a scientific
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include large-scale image processing and analysis, development of deep learning based artificial intelligence (AI) algorithms, and efficient utilization of supercomputing systems. Our backgrounds range from