10 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology" "https:" "https:" positions at Tallinn University of Technology
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14 Mar 2026 Job Information Organisation/Company Tallinn University of Technology Research Field Computer science » Other Engineering » Control engineering Engineering » Electrical engineering
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of human thermal comfort theory and bioclimatic indices. Ability to perform microclimate simulations with state-of-the-art tools (e.g., ENVI-met, SOLWEIG). High proficiency with parametric design
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Status Full-time Hours Per Week 40 Offer Starting Date 1 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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high offshore water levels. The proposed PhD studies aim at quantification of the contribution and variability of wave set-up in the eastern Baltic Sea using computational modelling, observations, remote
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) Country Estonia Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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. Successful supervision or co-supervision of one or more doctoral theses. High proficiency in both Estonian and English; for Estonian language proficiency, a performance agreement allowing up to two years
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Date 3 Aug 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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Full-time Hours Per Week 40 Offer Starting Date 2 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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improving battery performance under dynamic driving and environmental conditions. A key emphasis will be placed on ensuring computational efficiency and scalability within the software-defined vehicle