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Field
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principles and theories. 5. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. 6. Adheres to University and unit-level policies and
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a Postdoctoral Research Associate or Postdoctoral Research Fellow to perform project-related research with a focus on economic and data-related analyses. The successful candidate will work across our
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novel in-situ testing methodologies to observe deformation mechanisms at micro/nano scales. Data Acquisition and Analysis 25% Operate and maintain advanced experimental equipment, including but not
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completion) in AI, Machine Learning, Data Science, Control or Energy Systems Engineering, or a related field. Strong expertise in AI for real-time systems, predictive analytics, or Digital Twins. Experience
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for integration into diagnostic tools Preparing manuscripts for submission to both medical and machine learning journals Qualifications Candidate profile: Required: PhD in mathematics, statistics, data science
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Postdoctoral Researcher -Discovery and Bioengineered Production of High-Value Plant Natural Products
for publication in peer-reviewed journals, presenting data at conferences, and contributing to the success of the team. Required qualifications: • PhD degree in Plant Biochemistry, Plant Biotechnology, Analytical
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functionalities (GUI and web-service) Participate in field work organization, sampling plan establishment and in-situ data acquisition Your Profile PhD in environmental sciences or computer science, with a proven
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above. You have: A PhD in life science, e.g., molecular biology or biochemistry. Expertise in e.g. recombinant expression and purification of proteins, crosslinking/mass spectrometry, fluorescence
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publications Work effectively in a multidisciplinary team of scientists and engineers. . Basic Qualifications Must be a recent PhD graduate within the last three years. * Must meet educational requirements prior
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committed work style Advanced experience in preparing data according to conversation-analytic criteria and standards (e.g., transcription, metadata documentation) and relevant tools (FOLKER, ELAN, etc