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machine learning techniques Interest or experience in statistical modelling and analysis Interest in mathematics and natural science Experience with scientific publication and conducting research Experience
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/index.html ). The role of the PhD fellow will be to (1) develop and apply machine learning techniques and statistical analyses, including Cox Proportional Hazard models and polygenic hazard scoring, to fit and
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that the degree corresponds to the profile for the post. A strong background in programming, as well as machine learning/artificial intelligence and robotics. Excellent skills in written and oral English The
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data analysis and processing Interest in applying artificial intelligence and machine learning techniques Interest or experience in statistical modelling and analysis Interest in mathematics and natural
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systems or other related fields (e.g., sociology, anthropology, history, textual studies, digital humanities, design, human-computer interaction, art history, visual culture, artistic research
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interaction, art history, visual culture, artistic research). The Postdoctoral Research Fellow will be expected to devote their time to their own research agenda as well as working with a dynamic team of
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interaction, art history, visual culture, artistic research). The Postdoctoral Research Fellow will be expected to devote their time to their own research agenda as well as working with a dynamic team of
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machine learning for medical genetics Apply for this job See advertisement About the position There is a vacant position as professor II /associate professor II (20 % position) at Institute of Basic Medical
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structural level, developing and employing machine-learning tools for predicting antibody-epitope binding and antibody developability. In silico antibody design is a long-standing computational and
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to perform structure-based antibody design, developing and employing machine-learning tools for predicting antibody-epitope binding and antibody developability. In silico antibody design is a long-standing