4 combinatorial-optimization Postdoctoral positions at Universite de Montpellier in France
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computational approaches to biological systems. Its core activity is the development of deep learning methods for protein design and optimization, with applications in biology and medicine. - activities: We
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IATE partners. Supervise the collection and processing of samples (fish feces, exposed microplastics). Develop and optimize enzymatic and chemical cleaning protocols for samples. Perform advanced polymer
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optimize the UV micro-photoluminescence setup. Perform optical and cryogenic tests. Develop the software for control of the instruments and data acquisition based on PyModAq, Where to apply E-mail
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imaging systems. Activities : Adapt and optimize the SOLANO miniaturized hexapod robot (Symétrie) for high-precision dynamic biomechanical tests. Improve actuation control (speed, smoothness, accuracy