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Field
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may include bioinformatic analysis of group-wide datasets (e.g., RNA sequencing, metabolomics), responsibility for advanced equipment (e.g., flow cytometry or microscopy), and introduction and training
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Requirements A doctoral degree or an equivalent foreign degree in computer science, statistics, bioinformatics, computational biology, applied mathematics, or a closely related field. This eligibility
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circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. The doctoral degree should be in computational/systems biology, computer science, bioinformatics
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backgrounds, including the fields of ecology, physiology, molecular biology, or bioinformatics. Important personal qualities are creativity, independence, resilience, and organizational skills. Locally
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important infrastructures are available, including specialized laboratories for spatial omics, mass spectrometry, flow cytometry, and antibody production, as well as NBIS (National Bioinformatics
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and has training in statistics, data processing, bioinformatics, or a related discipline, to contribute to research on disorders of the brain. You will work with some degree of independence as a
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for a postdoctoral researcher with experience in computational analyses. Your mission As a postdoctoral researcher, you will: • Develop and apply bioinformatic methods to analyze alternative splicing
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sustainable plant protection. A PhD in bioinformatics, genomics, microbiology, plant pathology, or a related field is required. Candidates must have demonstrated expertise in genome and/or transcriptome
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organization in glioblastoma, epigenetics, bioinformatics, and basic cancer biology. We are now looking for an enthusiastic and motivated postdoctoral fellow to join Silvia Remeseiro’s research group to study
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. We welcome applicants with different backgrounds, including the fields of ecology, physiology, molecular biology, or bioinformatics. Important personal qualities are creativity, independence