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, (Molecular Focus) Posting Number req25468 Department AZ Veterinary Diagnostic Lab Department Website Link https://azvdl.arizona.edu/ Location To Be Determined Address 2831 N Freeway, Tucson, AZ 85705 USA
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Posting Number req25481 Department AZ Veterinary Diagnostic Lab Department Website Link https://azvdl.arizona.edu/ Location To Be Determined Address 2831 N Freeway, Tucson, AZ 85705 USA Position Highlights
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 28 days ago
will be addressed. Principles of measurement; detection of photons, electrons and ions; instrument and experiment design and application; noise reduction techniques and signal-to-noise optimization will
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bioinformatics analyses of datasets and writing manuscripts to describe the biological insights gained from these studies. QUALIFICATIONS Successful applicants will have: PhD in molecular biology or related
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: Contrat doctoral PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/135353 Requirements Specific Requirements Master degree required, in Fluid Mechanics
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architectures. This includes among other: (a) design and implementation of machine learning and GenAI models, (b) efficient training and inference on GPU-based systems, (c) fine-tuning and optimization of large
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) responsibilities will include preparing materials in the form of thin layers using printing methods (inkjet). This will be achieved by optimizing printing parameters and appropriate surface preparation. The PhD
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targeted methods for optimizing biomaterial properties. Tasks • Develop and produce fungal composites using wood-based substrates and characterize material properties (mechanical, physical, thermal) in
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needs. The School is based in a Zaha Hadid designed building well-equipped for innovative research and creative learning on the main campus of the University. Please visit the website at https
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the identification of optimal leaching conditions and expand the range of metals that can be processed using GLT. The work will involve integrating and evaluating machine learning techniques, with a focus on