79 parallel-processing-bioinformatics research jobs at Technical University of Denmark in Denmark
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Job Description Are you an ambitious Material researcher wanting to make an impactful change to the way we treat our water and plastic waste? Then please apply, as we are looking for a new team
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to relevant external sources. By enabling data interoperability across facilities and process units, this infrastructure will allow real-time coordination, intelligent scheduling, resource sharing, and improved
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tools for production of proteins and peptides using yeast. The project aims to establish a robust and efficient production process for yeast based CFPS extracts through a collaborative effort that
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process involving nutrient uptake via leaves rather than roots. This will allow by-passing the soil, which prevents 80% of the fertilizers from reaching the plants. Your role will be to functionalize
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, processing, modeling, and interpretation of geophysical and satellite data. You will be expected to communicate effectively with colleagues and work collaboratively to achieve ambitious goals. Additionally
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them to develop preforms; Draw the multifunctional optical fibers based on modified thermal drawing process of multiple materials (e.g. polymers and metals) with strongly different thermomechanical
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language models (LLMs) for educational purposes. Furthermore, the right candidate has a deep understanding of pedagogical research, with focus on how educational processes can be facilitated by AI. The role
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computer architecture. Responsibilities and qualifications You are expected to conduct independent research in collaboration with and under the guidance of experienced colleagues. Additionally, you will be
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to Denmark . Application procedure Your complete online application must be submitted no later than 20 November 2025 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials
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interest in information processing in humans and computers, and a particular focus on the signals they exchange, and the opportunities these signals offer for modelling and engineering of cognitive systems