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10.08.2021, Wissenschaftliches Personal Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky: - postdoc in the area of quantitative verification
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on research projects. Preferred Knowledge Skills and Abilities: Familiarity with survey design, data collection techniques, and both qualitative and quantitative data analysis (e.g., statistical software
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possess Experience developing or commissioning detector hardware and electronics. Data analysis at a major high energy physics experiment, analysis software development, statistical methods. Computing and
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., RNASeq). Knowledge, Skills & Abilities: Proficiency with coding using languages such as R and/or Python (or other translatable analytical software), and familiarity with common microbiome software and
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algorithms, their theoretical analysis and verification. This is a year-to-year appointment, contingent upon funding and performance. Outstanding UA benefits include health, dental, vision, and life insurance
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resulting data using Excel and Kaleidagraph software. Previous experience is a plus. Position Minimum Qualifications Biological and Biochemical experience. Experience with biochemical protease activity assays
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team projects Prior experience working/communicating with educators, education leaders, and administrators, preferably in an education policy context Experience using project management software (e.g
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Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working in automated program verification and/or software
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related field Knowledge, Skills, and Abilities: Familiarity with appropriate laboratory and technical equipment; ability to effectively use a computer and applicable software to create data bases, perform
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with a human-centric, sustainability-driven approach. The Postdoctoral researcher will work on using AI-powered methods, testing, and simulation technologies for the verification and validation