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resolve these questions, due to their proven ability to show plasticity in many traits. About you You have a PhD degree. You have experience with bioinformatic analysis, behavioral and/or experimental
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, with flexibility to choose their approach and methods within the project’s overarching aims. They will prepare scientific publications and engage actively in collaboration within the project’s
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testing and analyzing experimental results Participating in commercialization of developed materials Qualifications: PhD in one of the following broader experimental areas: physics, chemistry, materials
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Agents and remote interfaces to support the MaaS Consumer to remotely monitor and control parameters provided by the MaaS Provider. Requirements The candidate must possess doctoral degree (PhD) in any
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identification algorithms that directly interface with physical hardware. We work closely with industry partners, and our research has led to several methods now used in commercial products. We are part of
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computing in large-scale omics data analysis. Your work will focus on method development and their application to biomedical research questions. Key responsibilities include: analyzing and modeling large
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will design and implement novel computer vision and machine learning methods for “sensorized” cameras that extract medically relevant features without transmitting raw video. You will evaluate algorithms
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traits – and link these traits to epigenomic variation profiled via whole genome bisulfite sequencing. The candidate will also have the opportunity to explore advanced pangenome-based methods to probe
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, cleanroom fabrication, performing cryogenic microwave measurements, and data analysis. You are expected to participate in advising and mentoring PhD students. Your experience and ambitions
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). Contribute actively to the project and the host institution’s research community. Eligibility and assessment Applicants must hold a PhD (candidates who are in the final stages of completing their doctoral