14 bayesian-object-detection PhD positions at Maastricht University (UM) in Netherlands
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, inspiring students in the classroom, or helping to shape everything that makes our education and research possible. PhD Candidate in MIP-Based Sensor Engineering for Antimicrobial Resistance Detection Our
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. We do this with 23,000 students and 5,000 employees across 5 regional locations, 6 faculties, and more than 70 research institutes. We encourage you to push boundaries and discover new opportunities
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activities necessary to both discover and develop cell therapies. As a member of DRIVE-RM, you will be part of a large, interdisciplinary consortium, engaging with national and international stakeholders
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23,300 students and 5,400 employees across 5 regional locations, 6 faculties, and more than 70 research institutes. We encourage you to push boundaries and discover new opportunities for yourself and the
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push boundaries and discover new opportunities for yourself and the world around you. The vacancy is open for internal and external candidates. In case of equal qualifications, internal candidates will
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curiosity, integrity, and impact. About Maastricht University At Maastricht University (UM), we work together to find answers that help move the world forward. We do this with 23,000 students and 5,000 staff
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sensor platform for PFAS detection in environmental and food samples. PhD candidate in Molecular Imprinting and Device Fabrication at the Sensor Engineering Department Job Description This PhD project aims
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you to push boundaries and discover new opportunities – for yourself and for the world around you. Because real answers are found together. Curious? Would you like to know more about this position
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into C2H4. Specific objectives include establishing pulsed microwave operation with extended coupling efficiency to dose plasma activation, determination of temperature and species distributions in space and
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and mass transfer in thermal arc plasma source to engineer a reactor for direct C2H4 production. Specific objectives include establishing evolution of species distributions by in situ line-of-site