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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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Software Defined Vehicles (SDV). The primary objective is to expand, mature, and industrialize a novel European RISC-V automotive ecosystem that enables next-generation high-performance European automotive
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) software (e.g., COMSOL, ANSYS, or custom FEM codes) Proficiency in one or more programming languages (e.g., MATLAB, Python, C++, Julia). Strong written and oral communication skills Ability to work
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: Extensive experience operating a LabSpec 4 NIR spectrometer and Unscrambler software. Salary: Compensation will be commensurate based on the selected candidate’s education and experience. Hybrid/Remote Work
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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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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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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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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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verification of degree the appointment will be extended to its full duration. Job Description 40% - Affiliate with a Research Faculty Mentor and their research program to collaborate with this research team in