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Republic offers two PhD positions in the field of bioinformatics. 1. Utilizing Foundational Encoding Models for Multiomics Data Integration and Knowledge Base Modeling Towards Clinical Applications Supervisor: Mgr
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Bioinformatics About this position: We are looking for a highly qualified bioinformatician or computational biologist with in-depth knowledge of comparative plant genomics. You are expected to contribute
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IOCB Prague / Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences | Czech | 2 months ago
-cleaving deoxyribozymes from structured nucleic acid libraries. The group is searching for a postdoc with a background in bioinformatics who will help to process and analyze high-throughput sequencing
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bioinformatics who will help us to process these datasets. In addition to standard approaches such as motif mapping and secondary structure determination by covariation analysis, we are also interested in
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Are you driven by the desire to decode the intricacies of life using cutting-edge bioinformatics technologies? If you are passionate about Python, Docker, nginx, and proficient in natural sciences, we have
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learning some basic bioinformatics. They should be fluent in English (written and spoken) with good communication and organisational skills. The successful candidate has to hold a Master's degree in Biology
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in learning some basic bioinformatics. They should be fluent in English (written and spoken) with good communication and organisational skills. The successful candidate has to hold a Master's degree in
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. The department has access to powerful computational capacities used for computational chemistry, bioinformatics and chemoinformatics. The department also provides teaching and training of bachelor's, master's and
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, metabolomics, RNA-seq) and computational (e.g., bioinformatics, molecular networking, machine learning) approaches to develop new workflows for the discovery and utilization of bioactive molecules derived from
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, metabolomics, RNA-seq) and computational (e.g., bioinformatics, molecular networking, machine learning) approaches to develop new workflows for the discovery and utilization of bioactive molecules derived from