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study bioinformatic approaches for integrative analysis of omics and clinical data aimed at identifying molecular signatures of cardiovascular and related diseases. The position will be full-time and
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One Ph.D. position is available in bioinformatics with a focus on large-scale data analysis using artificial intelligence. The research project is centered around DNA sequence analysis, inference in
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Job description:Title: DC5, PhD fellowship in integrative bioinformatics and systems biology - From sequence to strain-specific phenotypes.Researcher profile: Doctoral candidate.Research field
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members. As such, you integrate different large scale and omic data sources. You have a master degree in Engineering, Bioinformatics, Biomedical sciences and have a keen interest in genetics. You are
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independent research, supported by your supervisors; combine experimental fieldwork with bioinformatics to collect and analyze data; writing publications on your scientific work, culminating in a PhD thesis. In
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experiments and bioinformatics analyses of multi-omics datasets generated from host-parasite model systems and environmental samples. Major part of this position will focus on analysis of host-virus dynamics
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/ You will be engaged in both laboratory experiments and bioinformatics analyses of multi-omics datasets generated from host-parasite model systems and environmental samples. Major part of this position
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research projects such as (behavioral) observations, chemical analyses, bioinformatics and molecular biology. Research in Dr. Kulmuni's group is focused on questions related to speciation and hybridization
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, designing and conducting laboratory experiments, bioinformatic analysis of generated data, presentation of results and manuscript writing. Therefore, previous experience and interest in both laboratory work
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chemistry as well as in microbiology. - Have knowledge in fungal culture and bioinformatics (LC-MS2 data processing) is appreciated. - Be rigorous, dynamic and well-organized. Good command of English is