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quantitative techniques (e.g., NLP, classification, clustering), statistical modelling, and other computational techniques Process large scale text data sets in multiple languages Create documentation for data
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sustainability agendas. This position is integral to Cross Cutting Theme 3: Artificial Intelligence, which supports all six strategic clusters within CTP, including climate science, biodiversity, mitigation
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epigenome of carrier cells. For more information, please check the Khoshkhoo Lab (http://www.khoshkhoolab.com ) and Huang Lab (https://www.augusthuanglab.org ) websites. Candidate qualifications include: PhD
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Social Care Cluster and DEMCOMM programme events Main Duties The responsibilities may include some but not all of the responsibilities outlined below. Develop research objectives and proposals under
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. Qualifications/Requirements Qualifications / Discipline: - PhD from a reputable institution in Physics, Bio-imaging, Computer Science, or a scientific domain closely related to Machine Learning. - The candidate
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activity and research after achieving the PhD or other doctoral degree under the direction of a senior faculty member who serves as a mentor for the postdoctoral appointee. Additional Department Summary
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evaluate machine learning approaches for predicting clinically successful drug targets. For this work, the postdoc will have access to a large high-performance compute cluster and to AbbVie's cutting-edge
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Qualification Requirements: PhD (or equivalent) in clinical epidemiology, statistics, clinical endocrinology. Strong research experience in endocrinology and diabetes is desirable. Knowledge of biological sample
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of globule formation, crystal nucleation, self-assembly and growth from ions clusters to polycrystals. Liaise with the collaborators to develop multi-scale, multi-physics reaction-diffusion modelling of HAp
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Study of Collective Behaviour " and the Cluster of Excellence “The Politics of Inequality” fund up to two fellowships for related projects in one of their interdisciplinary research fields. Free