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Field
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closely related fields · Experience and proficiency with CLM and/or other distributed hydrologic models, and a strong computational and programming background · Ability to work
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academic atmosphere. We are particularly proud of our pioneering Master’s programme in Digital English Studies (https://www.ln.edu.hk/eng/mades ), which directly addresses the profound shifts brought about
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processes, regularity theory of nonlinear degenerate and singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas
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investigations of charge state distributions, fragmentation behavior under collisional- and electron-based dissociation, and differentiation of peptide isoforms and PTMs using negative ion mode workflows. Research
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engineering; Formal methods, models, and languages; Interactive and cognitive systems; Distributed systems, parallel computing, and networks. The successful candidate will work closely with teams specializing
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, education, income distribution, wage and employment determination, labor turnover and job duration, and labor unions. Research Associates will work closely with one or more IRS faculty members during
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? We are seeking a highly motivated
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Learning, quantum computing, QKD - quantum key distribution, entanglement distribution System-level design and optimization AI & Intelligence: Agentic AI, Edge AI, information semantics, e.g. for earth
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the UK (PERFORM). This specific data collection role will require staff to distribute physical activity monitors (accelerometers) to trial participants via post, collect returned monitors and download data
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systematic investigations of charge state distributions, fragmentation behavior under collisional- and electron-based dissociation, and differentiation of peptide isoforms and PTMs using negative ion mode