40 software-formal-method-phd "https:" Postdoctoral positions at Texas A&M University
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methods, molecular biology, and behavioral assays. This position offers the opportunity to lead experiments, analyze data, publish impactful findings, and present at scientific conferences—making it an
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Experience: PhD completed prior to start date in Marketing, Decision Sciences, Psychology, Behavioral Economics, or a closely related field. No experience required. A Well-Qualified Candidate Will Also Possess
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within the ROOTS Lab on their research designs and quantitative analyses. Assist in the development and delivery of training materials related to statistical software, methods, and research best practices
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, and uncertainty-aware algorithms for autonomous driving systems. The position focuses on developing robust decision-making, planning, and control methods that address uncertainty arising from perception
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. in Philosophy or a related field. Preferred Qualifications: Peer-reviewed publications on topics relevant for the position. Recent completion of a PhD program in the past five years Salary: $58,000.00
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activities deemed as appropriate by the department head. Qualifications Required Education and Experience PhD completed prior to start date in Marketing, Decision Sciences, Psychology, Behavioral Economics, or
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, Neuroscience, or a related field. Strong publication record, including first-author papers utilizing fMRI. Proficiency with fMRI methods. Experience with eye tracking. Strong programming skills. Research
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performance. Position 1: Postdoctoral Research Associate – Detector Design & Analysis Qualifications: PhD in Experimental Particle Physics or related field. Preferred Qualifications Physics analysis
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Experience PhD in Biomedical Engineering, Biomedical Sciences, Chemical Engineering, Materials Science, Pharmaceutical Sciences, Molecular Biology, Biochemistry, Pharmacology, Computer Science, Physics
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. QUALIFICATIONS PhD in Civil Engineering, Environmental Science, Computer Science, or a related field Research experience in hydrology, geospatial analysis, and machine learning Skills of scientific writing and