615 computer-science-programming-languages-"Prof"-"Helmholtz-Zentrum-Geesthacht" PhD positions
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Field
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/or mixed-methods; no parallel enrollment in another PhD programme; fluent English language skills are a must; knowledge of Bulgarian is an asset; no previous contractual links to the IPS at any point
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through the EU Research Framework Programme? Not funded by a EU programme Reference Number BAP-2025-738 Is the Job related to staff position within a Research Infrastructure? No Offer Description QSP is
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Aldosteronism (DC5) and the programme webpage: Endotrain Doctoral Training Network | UiB We can offer: Competitive salary according to German Research Foundation (DFG) regulations – “E13 Stufe 2” Full social
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motivated candidates with: Master’s degree (or equivalent) in computer science or a related field Command in software design and development in high-level programming languages Knowledge in model-basedas well
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regularly present research findings Skills in materials chemistry, actinide chemistry, theoretical chemistry, high-performance computing, and programming are beneficial. We offer: We offer a position with a
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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal
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of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment
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program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence
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clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal disorders as a case study for advancing digital