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during emergencies and is based on high-temperature PEM (HT-PEM) technology. The HT-PEM stacks operate at approximately 160 °C, offering simplified designs and operational advantages, including improved
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. Completing courses and training required for being awarded the PhD degree. Design and perform strain engineering works in Bacillus. Perform OMICS data analysis, especially RNAseq analysis. Specific
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hold an MSc in electronics, computer engineering, or a closely related field. Required Qualification: Applicants must hold an MSc in electronics, computer engineering, or a closely related field. Strong
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universities, and three research and technology organizations—you will be at the forefront of shaping the future. This PhD project offers you the opportunity to develop cutting-edge competencies in digital
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
disciplines, and publish in leading journals Hold a full-time, paid position for 3 years with benefits and a structured PhD training program About the research group You will join the Biomimetics, Biocarriers
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in machine learning and artificial intelligence Experience with numerical analysis and scientific computing Knowledge of power systems and renewable energy technologies Experience in power system
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the candidate will be made by Professor Lars Jelsbak and Post Doc Carlos Neftaly
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engineering challenge. Key to success will be the development of cost competitive and reliable methods to produce hydrogen via electrolysis of water/steam driven by green electricity. Hydrogen can be used as a
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, and the preparation of highly non-classical mechanical quantum states. Who are we looking for? We are looking for candidates within the field(s) of physics or related engineering disciplines. Applicants
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient