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Field
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training; Maritime traffic and ship surveillance; Decarbonization and energy management
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electrochemical interfaces for electrocatalysis and batteries. You will investigate how the properties of the electrode-electrolyte interface can be leveraged to optimize the activity, selectivity, and stability
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chemistry, and materials science. The successful candidate will lead the optimization of this printing platform, characterize the fundamental reaction kinetics, and validate its translation into high-impact
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, and high-tech companies covering the full energy value chain. Your main focus will be on modeling systems essential for the design and optimization of hydrogen production processes. Accurate
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if the selected publications demonstrate the optimization of organic solar cells using green solvents and/or other non-halogenated additives following pre-industrial-scale processes. 4. Participation as a presenter
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
prototype maritime AI solutions, the center will address a diverse and impactful set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization
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are advantageous High interest in fundamental questions of immunology and willingness to establish and optimize novel model systems to model real-world pathogen encounters Fluency in English (written and spoken) is
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innovative formulation strategies for lipid-based drug delivery nanoparticles, with a particular focus on the design and optimization of externally triggerable lipid nanomedicines. Combining molecular modeling
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developments, you will work closely with the other PhD, postdocs, engineers in the lab, and other collaborators from TUM and ETH, to establish a digital twin for construction, and optimize CAML hardware
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generating mechanistic insights that can inform future clinical strategies to optimize MN status in critically ill patients. Your main tasks and responsibilities in this project are: • Isolating PBMCs from