62 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Technical University of Denmark in Denmark
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materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300
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biobased processes to promote a green transition and support the UN Sustainable Development goals. Responsibilities and qualifications You will work with a team of scientists including PhD and MSc students
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: PhD in Veterinary Epidemiology or a related field, or demonstrated experience with epidemiology Strong quantitative data analysis skills Applied understanding of epidemiological principles Demonstrated
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formal qualification, you must hold a PhD degree (or equivalent) in the area of microbiology/biotechnology. As you will join a very well-functioning and collaborative project group you must thrive
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engineering. Learn more about our work: www.healthtech.dtu.dk/3bs . About the project Blood transfusions save lives—but donor blood is limited, perishable, and not always available in emergencies. Synthetic
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will join an international team good command of written and spoken English is necessary. As a formal qualification, you must hold a PhD degree (or equivalent) in Allergology, Immunology, Bioinformatics
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with academic and industry partners Disseminate results through publications and stakeholder engagement Your primary qualifications are: As a formal qualification, you must hold a PhD degree (or
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PhD degree (or equivalent) in Environmental Engineering, Industrial Ecology, Design for Sustainability, Circular Economy, Remanufacturing, or a closely related field Experience with developing digital
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PhD degree (or equivalent) in Environmental Engineering, Industrial Ecology, Design for Sustainability, Circular Economy, Remanufacturing, or a closely related field Experience with developing digital
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PhD degree (or equivalent) in Manufacturing Engineering, AM, or related field Experience with metrology of small to large scale laser-based metal AM components (e.g. DED, powder-bed fusion) Experience