1,848 data-"https:"-"https:"-"https:"-"https:"-"University-of-Latvia" Fellowship positions
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data. Develop and apply signal processing workflows for weak transient signals, long-term monitoring, feature extraction and statistical analysis. Support sound playback/stimulation protocols for plant
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the Lymphovascular Research group collaborating with computational, clinical and laboratory scientists. The post holder will support the group by analysing genomic data to identify and characterise genes underlying
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, drawing on high-resolution proteomics alongside complementary omics, clinical data, and dietary and lifestyle information. The overarching goal is to enable improved disease stratification, identify
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: - PhD in Physics/Photonics/Nanoscience or related field. - Experience in nanophotonics/plasmonics, optical spectroscopy, and data analysis. - Familiar with micro/nanofabrication (DLW preferred) and
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning
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HERE ). How to apply Applications quoting reference number 2600410 will close on Monday, 1 June 2026. For further information about the Fellowship and previous recipients, please see below for attached
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Applications quoting reference number 2600409 will close on Monday, 1 June 2026. For further information about the Fellowship and previous recipients, please see below for attached Conditions of Award
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, drawing on high-resolution proteomics alongside complementary omics, clinical data, and dietary and lifestyle information. The overarching goal is to enable improved disease stratification, identify
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Bachelor’s degree or above (for Research Assistant I) in psychology, data science, computer science, or a related discipline. The appointee should demonstrate strong quantitative and computational skills, with