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- Zukunftskolleg, University of Konstanz
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research that together enhance our contribution to society. Required Qualifications* PhD in computer science, engineering, applied mathematics, statistical physics, biology, or a related field. Reasonable
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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will develop and apply methods to transform omics data into networks and executable models, collaborating closely with experts across the Petsalaki and Sheriff groups, Open Targets, EMBL-EBI, and the
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to society. Required Qualifications* PhD in applied mathematics including mathematical biology, computer science, engineering, statistical physics, biology, or a related field. Reasonable communication skills
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objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms (50%). PhD in computer science, engineering
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for the School’s PhD program. We offer regular public lectures and symposia, weekly discussion groups, and visiting researcher programs. We maintain close collaborative ties to other parts of TUM as
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produce preliminary experimental data in the field ofrheumatology and musculoskeletal (MSK) medicine which in turn may allow the fellow to develop a competitive PhD fellowship application. Although research
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possible. We strive to ensure the diversity of our candidates, and we reflect this ethos in the way we promote the ICRF programme and in our recruitment and selection process. Imperial’s diversity networks
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with a wider interdisciplinary research team Participate in wider networks, including the Adult Social Care Cluster and DEMCOMM programme events Main Duties The responsibilities may include some but not
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where