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application! Work assignments Research focus: implementation of an evidence-based digital support programme delivered through 1177 for informal caregivers of people with heart failure, combined with user
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. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis (machine learning, statistics, numerical analysis, time-series analysis, etc.). Quantitative methods in
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methods and predictive control strategies for solid-state batteries using data from parallel postdoctoral projects within the initiative. The research aims to improve the understanding of how operating
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methods, provides the ideal environment for research on programming with formal guarantees — a topic of increasing practical importance. About us The Department of Computer Science and Engineering , a joint
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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 Job description Next leap in the battery
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-CT experiments as part of the user program but the methodology has not been optimised. In this project, we will optimise the scanning method, the hardware and the analysis software to make
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functional genomic methods to study epigenetics and transcription such as ChIP and RIP-seq you are self-motivated, persistent and collaborative with an analytical mind and capacity to structure more than one
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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10 Jul 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Engineering » Materials engineering Engineering » Other Physics » Acoustics
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- 21:59 (UTC) Country Sweden 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