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daily with researchers at Toyota Motor Europe and the Toyota Research Institute, and co-supervise PhD students within the VISLab . Tasks and responsibilities: designing and developing compositional robot
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Description: The RevEl project aims to replace PTFE-based dry binders with fluorine-free nanocomposites that combine mechanical robustness during battery operation with controlled debonding-on-demand at end
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intelligent autonomous systems operating under uncertainty, limited information, strategic human behavior, and complex multi-agent interactions. The postdoc will work at the intersection of control theory
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and experiences are considered a merit: A PhD degree in automatic control, systems engineering, electrical engineering, signal processing, engineering physics, engineering mathematics, marine
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and erosion for 60 years. One of the main objectives is to acquire fundamental knowledge about the processes controlling environmental risks related to the dynamics of metal contaminants (speciation
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in computational science, machine learning, and experience with synchrotron data analysis are strongly encouraged to apply. Position Requirements PhD completed in the past 5 years or soon to be
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Required Education and Experience Requires a Doctoral (Ph.D.) degree in area of research specialty. Required Certification, Licensure/Other Credentials Preferred Qualifications PhD in polymer chemistry
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workflow development for genomic data, including genotype quality control, imputation, multi-cohort harmonization, fine-mapping, and polygenic risk score modeling for NIH-funded research projects
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modern workflow managers (e.g. Nextflow, Snakemake) and version control; support for novel wet-lab protocols for DNA methylation analysis and nanopore sequencing; and development of predictive models
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with the Swedish company Umecrine, which has subcontracted it to carry out part of the study “Neurosteroid mediated control of sleep comorbidities in Parkinson's Disease,” funded by a grant from the