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exists for researchers to design and improve animal tests. These limitations hinder the development of optimal experiments and incur cruel animal suffering and killing.The position is two years and you
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, Quantum Biomedicine, Quantum Machine Learning, Quantum Optimization, etc. The positions are normally for one year and are renewable for a second and a third year, subjected to satisfactory research
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” focusing on the effect of a fluctuating environment on the collective dynamics of self-propelled agents, a numerical part on “reinforcement learning” focusing on optimizing communication between agents in a
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. The candidate should have a strong background in process modeling, control, optimization, applied machine learning, and AI. City: Cranbury State: NJ Location: Off Campus Create a Job Match for Similar Jobs About
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optimization of pyrometallurgical flow sheets for the production of value-added materials or metals.The selected candidate will contribute to both fundamental understanding and industrial applications of thermal
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to efficiently identify materials with optimal mechanical properties and controlled degradability. The primary task is to develop techniques for synthesizing degradable polymers and copolymers using ring-opening
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techniques (e.g., DNA/RNA extraction, PCR, qPCR, metagenomics, transcriptomics) to study microbial communities in soil environments. Develop and optimize laboratory protocols for characterization, and
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research contractors. Through the design and characterization of new materials, the laboratory's approach leads to the optimization of a wide range of properties for targeted applications. The position is in
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nanomaterial-nucleic acid hybrids for optimal device bio- and gas sensing, as well as for optoelectronic applications. About You The candidate will have experience in materials science research and ideally DNA
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, and materials characterization to join a cutting-edge research team. The project focuses on developing sustainable and optimized processes for vanadium extraction and purification, with the goal