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Description Call for proposals The NOMIS Foundation and the Institute of Science and Technology Austria (ISTA) have launched an interdisciplinary basic research program for exceptional postdoctoral
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postdoctoral scientists. The NOMIS-ISTA Fellowship Program provides postdocs with the freedom to work on big unanswered questions and high-risk research at the intersection of two or more scientific disciplines
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language (particularly R or Python) Excellent command of English, excellent command of German is a plus Teamwork and communication skills Please include with your application a comprising a covering letter
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administration. You will present your research at international conferences and in peer-reviewed journals. You develop your IT user skills: especially Microsoft Office, Origin, Python or Labtalk. You communicate
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., R, Python, Julia), preferably including scientific software development. Knowledge of ecological statistics (frequentist and/or Bayesian), particularly spatial statistics and nonlinear models
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activities is a plus Working knowledge of Python or R for data handling and figures; familiarity with git is a plus Familiarity with climate mitigation scenarios and the IPCC literature is a plus Excellent
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(corresponding to the institute’s research field in the context of mechanistic studies of inflammatory diseases) Biological background with practical laboratory experience, in particular experience with CRISPR
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the scenario literature on residual emissions, carbon dioxide removal and carbon capture and storage Proficient programmer, with experience in Python for data analysis (e.g. pandas, pyam) and reproducible
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, Engineering, or a related field, or equivalent practical experience. Strong Python programming skills; JavaScript knowledge is a plus. Experience in the DevOps field, such as containerization and orchestration
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experience with software related to experiment control and data analysis (Python, IMSwitch, PiScat) • Ideally, you have experience working with DNA-origami and DNA-PAINT assays. • You have an excellent command