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of data such as from Kepler, K2, and TESS Experience with scientific software development, testing and documentation (python-oriented development environments, github, writing of manuals) Experience with
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/ Nice to have You have experience with advanced bioinformatic tools (e.g. Python/R, omics data analysis) Education and training A Ph.D. in a relevant field of study and/or candidates with no more than one
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of telemetry/SCADA networks; processing and analysis of time-series data using statistical and programming tools (Excel and Python), with the ability to develop predictive performance models. Regulatory
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). Strong knowledge of applied statistics and proficiency in analysis tools (R, Python, Bioconductor, etc.). Additional Skills: Proficiency in oral and written English communication. Ability to work
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., evolutionary algorithms/strategies, mixed-integer search, multi-objective methods). Strong Python and scientific-computing skills (data handling, experiment tracking, testing, version control). Practical
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relevant field such as computational biology, bioinformatics, computer science, or a related discipline. Programming proficiency in Python and/or R. Demonstrated experience in analyzing large-scale
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skills Programming skills in Python or Pyraf and in the use of standard pipelines for advanced instrumentation such as JWST, HST or the VLTs. Form of accreditation for both sections: A report of the
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limited to a record of scholarly publications Experience in programming and code development (python, R) Proven ability to publish manuscripts in peer-reviewed scientific journals Fluent English, both
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-performance computing environments You have proven programming competence in R and/or Python Desirable but not required/ Nice to have You have proven experience profiling the microbiome at the taxonomic and