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Field
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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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to the in-situ field measurements at Itatinga. The Ecotron experiments are not part of the postdoctoral work and will be made by a French PhD student. Combining data from Eucalyptus stands and
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with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological
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of field campaigns, data collection and lab work, Spectral data analysis, data processing, and model development, ‘R’, Python programming / package development, Co-supervise PhD and undergraduate students
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models in mice. Experience managing and integrating multi-scale datasets, with knowledge of consortium-based data-sharing protocols and practices. Strong analytical skills for interpreting complex datasets
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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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of master and PhD students, involvement in teaching and laboratory and academic management and grand application writing. Please also visit: https://neurochem.univie.ac.at/ Your future tasks: Active
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the deployment of teaching expertise across the Faculty. The Faculty has unparalleled expertise in basic, translational and clinical research in: analytical and forensic science; asthma and allergy; biophysics and
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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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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