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collaboratively, including interaction with diverse stakeholders; excellent oral and written communication; good command of English. Desirable requirements: Experience in LiDAR data processing and analysis
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, Biotechnology, or Molecular Biology. The candidate must be self-motivated, fluent in English, and capable of integrating molecular/cellular biotechnology and advanced bioinformatics. Proven experience in handling
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, provided they submit the report of the examining committee at the time of application. Background degree in Philosophy, with professional activity and research in the fields of German Idealism and Aesthetics
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programming languages such as R and/or Python; • Experience with widely used bioinformatics tools and frameworks (e.g., Seurat, Scanpy, SCENIC/SCENIC+, GENIE3); • Demonstrated publication record in peer
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publications related to the project. Scientific writing skills in English. Ability to work collaboratively within a multidisciplinary team. How to apply: Applications must be submitted through the form available
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knowledge of SAS software; fluency in English, both spoken and written, for participation in international activities and collaborations; availability to reside in Piracicaba, state of São Paulo, Brazil
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. REQUIREMENTS PhD in Bioinformatics, Computational Biology, or a related field. Strong experience in bioinformatics and analysis of next-generation sequencing data. Proficiency in programming languages such as R
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; good experience with analyzing software repositories; knowledge of sustainability, including software sustainability; advanced English language skills; good publication record. How to apply
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profile; Strong interpersonal and communication skills; Proficiency in written and spoken English; Full-time and exclusive dedication to the research project; Ability to present scientific results clearly
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statistical software (R, Python, SAS, or similar); English proficiency for reading, writing, and presenting; full-time residence in Piracicaba. Desirable requirements Experience with large datasets and metadata