19 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "U" PhD positions at University of Southern Denmark
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Southern Denmark. The Department of Green Technology at the University of Southern Denmark invites applications for a three-year PhD position in data-driven critical raw material supply chain
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), University of Southern Denmark in Odense, you will be part of the Robotic Intercropping ( https://roboticintercropping.eu ) team working to break new ground at the absolute forefront of what is possible in
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initiative here: https://www.michaeljfox.org/grant/connecting-environmental-exposome-pd-risk-and-disease-pathology . Project description The PhD project will focus on associations between toxicants
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Investigator, DFF Sapere Aude, Novo Nordisk’s Foundation RECRUIT and Data Science Investigator – Emerging, and Maria Skłodowska-Curie Fellowships. Read more on POLIMA’s website . We offer a competitive and
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program ( https://www.sdu.dk/en/om_sdu/sdus_profil/strategi/udfolder_talenter_og_fremmer_det_unikke/4_plus_4_ph_d ) Strong collaborative and communication skills and an interest in working in an
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that include collaboration partners from both academia and industry. Further information For information about the CAPE research center, please see https://www.sdu.dk/en/forskning/cape For
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section "What we expect" below. Read more about the network at https://e-core.nws.cs.unibo.it/ . What we offer E-CoRe is a European doctoral network on reversible computing. Reversible computation
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The PhD position(s) is linked to the Villum CEBE programme, Civil Engineering and the Green Transition in the Built Environment, funded by the Villum Foundation. Within Research Field 2, Design for
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linked to the Villum CEBE programme, Civil Engineering and the Green Transition in the Built Environment, funded by the Villum Foundation. Within Research Field 2, Design for Regeneration
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of up to 2 years. The place of employment will be in Odense. Research profiles and tasks We are looking for a candidate with a background in computational social sciences, machine learning or data