106 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF" "https:" "https:" "https:" "https:" "https:" "P" "Dr" PhD positions in Denmark
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-coupled power systems https://cordis.europa.eu/project/id/101227683 ) consortium unites leading experts from academia and industry across Europe, leveraging expertise in wind energy, power systems, power
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(cover letter) Vision for teaching and research CV including employment history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio
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Computer Engineering, please visit https://ece.au.dk/ See more about our activities on LinkedIn: https://www.linkedin.com/company/au-ece What we offer The department offers: a well-developed research
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Professor Dr. Iris Adam (irisadam@biology.sdu.dk) or Professor Dr. Coen P.H. Elemans (coen@biology.sdu.dk). Vocal Neuromechanics lab: https://www.sdu.dk/en/forskning/sound-communication-behaviour/research
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on different aspects of AI, with main focus on visual data. You may read more about VAP Lab, including current projects and members, here: https://vap.aau.dk/ The candidate will also be part of the Pioneer
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about DTU Aqua at https://www.aqua.dtu.dk/ ; and the section for Fish and Shellfish diseases here: https://www.aqua.dtu.dk/english/research/fish-and-shellfish-diseases If you are applying from abroad, you
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vision here: https://www.sdu.dk/en/om-sdu/institutter-centre/fysik_kemi_og_farmaci/ominstituttet The Ph.D. candidate will be part of the Pharmacy section: https://www.sdu.dk/da/forskning/farmaci-sektionen
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contain well-informed methodological considerations. To find out more about the department please go to https://www.cbs.dk/si . Project topics SI particularly invites for PhD project applications pertaining
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about the project, see: https://www.nordforsk.org/projects/nordic-perspectives-collaborative-ai-blue-collar-work-cai-blue. Your competencies You must hold a master’s degree in computer science, human
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Villalobos) and Consortium partners (https://cordis.europa.eu/project/id/101227645 ). Our focus is to guide innovation at an early stage by assessing the benefits (society, economic and environmental