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/scripting (e.g., Python, R, or Bash) Familiarity with next-generation sequencing data and genome assembly tools Strong analytical and problem-solving skills Excellent written and spoken English communication
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Job Description Do you want to help build the digital backbone of the green energy transition, while protecting data security and privacy? We invite you to apply for one of the two fully funded, 3
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materials physics is a plus. High level of motivation and creative problem-solving skills. Excellent communication and writing skills in English. You must have a two-year master's degree (120 ECTS points
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-tasks and language models. This position is part of SDU’s initiative to develop energy-efficient AI accelerators based on alternative model architectures that cannot be leveraged as efficiently
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applications Co-integration of SSM-SNN cores with RISC-V processors in CMOS Hybrid analog/digital interfaces for spike generation and propagation Event-based communication protocols for ultra-low-power operation
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endorses the application Digital copy of the Diplomas + the official English transcript of the academic degrees and academic records. (In the case an applicant doesn’t hold the official transcript
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or European ID card) Detailed academic CV in EUROPASS format Motivation letter (max. 1 page) + the contact (Name, email, institutional affiliation) of a reference person who endorses the application Digital
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to develop circuits that convert analog neural signals into digital or event-based outputs (e.g., spike-compatible signals) suitable for a neuromorphic backend. Note: This position does not involve designing
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include: CMOS-based neuron and synapse circuit design Low-power digital architecture for SNN processing On-chip learning mechanisms Integration with sensor interfaces for biomedical signal processing What