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Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Sep 2026 - 23:59 (Europe/Vienna) Country Austria Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer
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Scholarship Opportunity This is an opportunity to undertake a fully funded masters’ degree and an interdisciplinary PhD under the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme
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Scholarship Opportunity This is an opportunity to undertake a fully funded masters’ degree and an interdisciplinary PhD under the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme
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Scholarship Opportunity This is an opportunity to undertake a fully funded masters’ degree and an interdisciplinary PhD under the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme
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Scholarship Opportunity This is an opportunity to undertake a fully funded masters’ degree and an interdisciplinary PhD under the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 2 months ago
international work environment # Scientific excellence and extensive professional networking opportunities # A structured PhD program with a comprehensive range of continuing education and networking
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and Creativity. The RA will join a team of experts performing original research and development, advancing the field of metrology in quantum network metrology and quantum sensing. Using your
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) Positions PhD Positions Application Deadline 15 Sep 2026 - 23:59 (Europe/Vienna) Country Austria Type of Contract Temporary Job Status Negotiable Hours Per Week 30-40 Is the job funded through the EU Research
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requirements: Applicants eligible for this call must cumulatively meet the following two requirements: Requirement 1: Be enrolled in a PhD program in the area of Computer Engineering, to be duly proven
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Information Management, or related fields; Have basic knowledge of machine learning models in supervised and unsupervised learning tasks (i.e., k-nearest neighbours, Decision Trees, Neural Networks, Logistic