161 phd-studenship-in-computer-vision-and-machine-learning PhD positions at Nature Careers
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. The consortium consists of world-class scientists with competences spanning chemistry, biochemistry, computer science, and machine learning. All fifteen doctoral candidates will work with two research groups, and
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PhD Position on Systemic Change in STEM Education: Bridging Stakeholders to Create Shared Visions...
The STEM Education Research Center at the Department of Mathematics and Computer Science at the University of Southern Denmark (Campus Odense) offers a PhD scholarship on systemic change in STEM
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artificial intelligence methods. PhD position in atmospheric corrosion studies via novel experiments and machine learning Reference code: 50134137_2 – 2025/MO 1 Commencement date: as soon as possible Work
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(Q1/Q2 journals, first-author or independent research) Research background aligning with the proposed research and the potential mentor Ready to apply? Learn more and submit your application here: https
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regulatory network reconstruction and wide range of machine learning approaches The host labs will provide financial support for the whole length of the PhD. The applicant will be expected to seek independent
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ideas and results in a strong interdisciplinary context (ecology, computer vision, machine learning experts) but also a non-scientific audience (end-users) Class B driving license Your LIST benefits
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through the DKFZ International PhD Program and DKFZ Career Service Our Corporate Health Management Program offers a holistic approach to your well-being Contact: Prof. Dr. Dieter Saur Telefon: +49 89 4140
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into University of Galway’s community. Living allowance (Stipend): €25,000 per annum [tax-exempt scholarship award]. Computer equipment and funding for travel (e.g. to conferences) as well as attendance
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of the International Research Unit Mathematics and Life Sciences is looking to fill the following positions as soon as possible, on a fixed-term contract for three years. PhD candidate in Computational Biomathematics
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission