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that merge thermo-fluid dynamic laws, deep learning, and experimental data. A central goal is to overcome current limitations in TES operation and optimization, enabling discovery of new high-performance and
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, biochemistry, deep sequencing, proteomics, metabolomics, genetics, phage engineering etc. Besides, academic exchanges to China (and/or Switzerland, Germany) are possible depending on the project progress. Who
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. You will draw on ideas from Bayesian optimization and Bayesian deep learning, generative modelling, high throughput screening, and combinatorial synthetic chemistry. Responsibilities and qualifications
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national center for AI research. Your competencies • Master's degree in one of the subfields of AI • Experience in programming and deep learning frameworks • A creative mindset and curiosity
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: You will be responsible for the sensor system and the perception algorithms of an autonomous mobile robot. You will engage in research around deep learning and 2D/3D computer vision for a well-defined
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Applicants should hold a relevant MSc degree in electronics, electrical engineering, computer engineering, or related fields. Required Qualification: Solid background in digital CMOS design and deep learning
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-of-the-art facilities and deep expertise. Our infrastructure spans the full spectrum from fundamental electrochemical studies to the fabrication of lab-scale components and devices. Responsibilities and
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background in CMOS/VLSI design, computer architectures (preferred RISC-V architecture), and deep learning principles. Experience with industry-standard EDA tools such as Cadence suite: Genus, Virtuoso, Spectre
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system designed to safeguard underwater infrastructure. This is a unique opportunity to dive deep into advanced robotics research, gain hands-on experience with real-world testing, and make your mark in a