45 software-formal-method-phd Postdoctoral positions at Oak Ridge National Laboratory
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in materials science/engineering, physics, applied physics, engineering, or a
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methods towards improving our understanding of unique target materials. You will be working with scientists, engineers, technicians, and safety and quality assurance staff to support material testing and
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characterization techniques with mechanical behavior and finite element methods. The postdoctoral candidate will develop the processes needed to connect mechanical testing data with 3D microstructure of nuclear
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Requisition Id 14890 Overview: We are seeking a Postdoctoral Research Associate who will focus on applying computational methods in the areas of stimulus responsive separations and energy related
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instrumentation and apply these in advancing nGI for material science research through novel instrumentation and computational methods. Then you will be applying nGI in addressing critical scientific questions in
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analytical methods to ensure and determine purity of samples being used for molten salt property measurements Leverage database of thermophysical properties and theoretical modeling frameworks to generate
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other characterization methods, as well as across multiple CNMS groups and divisions at ORNL. Major Duties/Responsibilities: Conduct materials research using combined photonics/scanning probe microscopy
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(CSD), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL). This position is focused on the advancement of high-precision mass spectrometry and innovative chemical methods
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, work together, and measure success. Basic Qualifications: A PhD in engineering, computer science, or a related field completed within the last five years. Expertise in systems dynamics and controls
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of researchers, technical professionals, and software developers focused on conducting research in world-class facilities and deploying science-based knowledge in real-world applications. The position supports