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mandatory: Experience with bioinformatics including NGS (Nanopore, Illumina, PacBio) Experience with automation and coding in Python or other programing languages Experience with protein software tools like
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immediately can contribute to the topic. Applicants should have a background (MSc and BSc degrees) in Computer Science or Software Engineering and a demonstrated ability to work independently as well as in a
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), life cycle assessment (LCA), tech-economic analysis, accounting and evaluation (preferred). Ability to work with large datasets and proficiency in data analysis software (preferably Python, though
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. Applicants should have a background (MSc and BSc degrees) in Computer Science or Sofware Engineering and a demonstrated ability to work independently as well as in a team. Significant software development
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tasks: Design OFC and AWG according to standards of optical communication by using commercial software; Study different mechanics to align the output of OFCs and working wavelengths of AWGs, and apply
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background in computer vision, and machine learning. Prior experience in 3D vision or related fields such as 3D reconstruction Proven software and debugging skills in Python and/or C++ Experience with learning
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programming languages such as C/C++, Python, Julia or similar. Experience with mathematical optimization software. Experience with machine learning packages. Excellent communication in English and interpersonal
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strong background in industrial engineering, computer science, software engineering, energy systems, robotics, or related disciplines Interest in AI, simulation, and optimization for energy and industrial
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description Conduct a literature review on SSMs, LLM architectures, and hardware acceleration techniques. Investigating design choices that optimize the model across both the hardware and software stack. Design
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, suitable for wearable or implantable devices. The research will focus on hardware-software co-design, from modeling spiking behavior to implementing scalable architectures on silicon. Key research themes