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, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction
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findings through scientific publications and presentations at international conferences. We are looking for a candidate who: Think creatively and approaches problems with an open, computational mindset. Is
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field where your creativity and technical skills can help shape safer and smarter oceans. As a PhD candidate, you will have the unique chance to contribute to groundbreaking research that merges
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a strong career-defining network. The IntelliWind Doctoral Network provides training for a new creative, entrepreneurial, innovative, and resilient industry-oriented academic generation ready to face
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, Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen. We offer creative and stimulating working conditions in dynamic and international research
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welcoming environment with an international atmosphere that fosters creativity, empathy, teamwork, and outstanding academic collaborations. You will also benefit from strong connections to leading companies
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The project involve conducting high-quality research at the intersection of thermo-fluids science, AI/machine learning and optimization. We envision that: You have an open mind and can think creatively in
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
Evaluating oxygen-carrying capacity and system stability Assessing biological interactions Candidate profile Required qualifications: You must have a two-year master's degree (120 ECTS points) or a similar
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are located in Copenhagen. We offer creative and stimulating working conditions in dynamic and international research environment. Principal supervisor is Prof. Jan H. Jensen, Department of Chemistry
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computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics