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), peptides and related linker-payload components. The role will focus on solution-phase synthesis, solid-phase peptide synthesis (SPPS), conjugation and purification workflows, analytical characterization, and
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social and critical infrastructure in vulnerable communities. About the role The role will run initially for two years, extendable to three. The successful candidate will be able to support and contribute
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The successful candidate will work with Asst. Prof. Shen Shuting on combinatorial inference under a project on "Post-learning inference for near-optimal discrete structures". The main
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Research Fellow to join our multidisciplinary team aiming to develop the next generation of metal multimaterial additive manufacturing. The successful candidate will work on the development of a novel laser
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psychological attributes), as well as secondary data analyses in large scale ongoing cohorts evaluating biobehavioral mechanisms by which optimism may lead to healthier aging. Additional work will include
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psychological attributes), as well as secondary data analyses in large scale ongoing cohorts evaluating biobehavioral mechanisms by which optimism may lead to healthier aging. Additional work will include
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work on advanced photonic packaging and silicon photonics. The project focuses on developing low-loss optical coupling and packaging solutions for photonic integrated circuits, including chip-to-fibre
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learning, large-scale model optimization, and generalization. To explore scalable optimization methods for large-scale, distributed, and multi-node collaborative training. To conduct theoretical analysis
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development, operation and optimization of plasma devices and associated diagnostics. Experience or exposure to plasma diagnostics. Strong written and verbal communication skills with demonstrated ability
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. Currently, DIMAG consists of researchers from various countries and the work is done in English. DIMAG is co-located with the IBS Extremal Combinatorics and Probability Group (ECOPRO). Website: https