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-edge tools and machine learning techniques to model spatial multi-omics data. The aim is to advance our understanding of protein dynamics at the single-cell level and contribute to a broader
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an east African context Modelling skills with a focus on impact assessment at field to landscape level, preferably including spatial and agent-based modelling approaches Proven ability to implement
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disease models F2 Experience with tissue processing and histological techniques F3 Experience with single-cell or spatial sequencing bioinformatics analysis F4 An emerging national or international
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The information for the PhD admission is available at TalTech´s web-page: https://taltech.ee/en/phd-admission The following application documents should be sent to francesco.deluca@taltech.ee CV Motivation letter
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7 Apr 2026 Job Information Organisation/Company Metacoustic Research Field Physics » Acoustics Physics » Applied physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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Sorbonne Universite - Laboratoire de Chimie de la Matière Condensée de Paris (LCMCP) | Paris La Defense, le de France | France | 17 days ago
developed a partial model of a healthy IVD that reproduces the spatial organization of the nucleus pulposus and partially that of the annulus fibrosus. The aim of this doctoral project is to further develop
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at KTH Royal Institute of Technology is seeking a highly motivated doctoral student with a strong background and interest in spatial AI, navigation, sensor fusion, optimal estimation, and machine learning
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technologies, spatial omics data, immunology and cancer systems biology. Experience with genomic engineering methods, stem cell culture, flow cytometry, and murine models is preferred. Ability to work
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deglaciation. Duties include but are not limited to: The analysis will include statistical modeling (e.g., STEHME) to bridge spatial and temporal data gaps and interpolate beyond field-accessible regions. Using
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. Preferred qualifications ● Fluency in fisheries and/or bioeconomic modeling, with experience in spatial fisheries ecology or management strongly preferred; ● Advanced understanding of the biology and