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Field
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completeness. In other instances, where sufficient data do exist, the models used in attempts to glean performance insight may be overly simple and violate mathematical or statistical assumptions or be overly
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Engineering, Computer Science, Physics, Mathematics, or a related discipline. Applicants should also demonstrate evidence of programming experience. Experience and background in the area of Robotics or Cyber
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, specifically for analyzing failure propagation. MBSA is based on the adoption of a formal, mathematical model of the system and on a tool-supported methodology to assist the generation of safety artifacts. State
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/Molecular Biology/Biotechnology, or b) Computer Science/Mathematics/Physics and at the second cycle level, 60 credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics including a 30
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, electrical engineering, engineering physics, applied mathematics, or a related field, or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in areas previously
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Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related quantitative field. A solid background in machine learning, statistics and/or mathematics. Strong programming skills in Python
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Mathematics » Statistics Mathematics » Other Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 26 Apr 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract
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awareness These funded PhD scholarships are suitable for students with a background in Computer Science, Mathematics, Engineering and Cognitive Science. Students with interests in machine learning, deep
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3 Apr 2026 Job Information Organisation/Company KU LEUVEN Department OM/FEB Research Field Economics » Econometrics Economics » Industrial economics Engineering » Industrial engineering Mathematics
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the scope of the provisions of the collective bargaining agreement. Your qualifications Must-haves A Master’s degree (completed or near completion) in Computer Science, Machine Learning, Mathematics, Physics