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Controlled-Release Fertilizers, Agronomy, Agricultural Sciences, and process development Job Qualifications: PhD in applied Chemistry, Materials Science, Chemical Engineering, Agronomy, Agricultural Sciences
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of vegetation–climate–technology interactions to optimize energy yield in environments subject to climatic stress. Responsibilities: Monitoring PV panels: temperature, efficiency, dust accumulation. Using
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5 Dec 2025 Job Information Organisation/Company CNRS Department Laboratoire de physique des interfaces et couches minces Research Field Pharmacological sciences Engineering Technology Researcher
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findings, and help attract funding. PhD in Computer Science, Computational Bioengineering, Mechanical or Electrical Engineering Excellent coding skills Preferably a familiarity with machine learning and deep
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constituents of its microstructure. You will develop inverse-analyses of the in situ imaging experiments to extract the non-linear stress/strain relationships. You will design critical in situ X-ray and neutron
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are: the interaction between plants and microorganisms, and other forms of stress; biotechnology and metabolic engineering; growth and development of plants; the regulation of gene expression; population genetics
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Technology (IRTA), Autonomous University of Barcelona (UAB), and University of Barcelona (UB). The Center is located at the UAB Campus, and currently hosts 200 members from across the world. Research Programs
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Environmental Science (CAES) and AgroBiosciences Program (AgBS) at UM6P: The College of Agriculture and Environmental Science (CAES) is a component of the Science & Technology pole of Mohammed VI Polytechnic
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. This project will discover and engineer single-domain antibodies (sdAbs) that specifically recognise K6-linked ubiquitin. Using these new molecular tools, we will establish state-of-the-art mass spectrometry
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
methods for factuality/hallucination testing, robustness, calibration, bias/fairness, and/or adversarial stress-testing. - Solid programming and ML/NLP engineering skills in Python and ideally modern deep