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of human cohorts” (65%, Proteomics Group) Ref. Number: 396_2026 PhD Position 3 “Image-based analysis of human cohorts” (65%, Lipidomics Group) Ref. Number: 397_2026 PhD Position 4 “Data Science” (100
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Bioanalytics for the Multidimensional OMICS Data Analysis research group, we invite applications for a: PhD Candidate (m/f/d) This position is part of the Leibniz Science Campus “Cardio-Oncology Campus
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analysis) as well as latent models to examine the various components of the exposome, and (iii) the application of models suited to the analysis of observational data to estimate associations between
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the field. Perform quantitative analysis and agent-based modeling of behavior. Report, discuss, and present data to the team. The position is for 36 months. Laboratory work using virtual reality (VR
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evaluation of educational systems, with a strong emphasis on quantitative analysis, longitudinal data and evidence-informed decision-making. Main tasks include: Collection, organisation and processing
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Description This PhD project aims to develop advanced software solutions for cryo-electron microscopy (cryo-EM) data analysis, modeling conformational heterogeneity, and identifying optimal binding candidates
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of such techniques, providing results that will be exploited in the analysis of experimental data and in view of applications in astrophysical contexts and in the search of physics beyond the Standard Model. Where
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 6 days ago
cutting-edge image analysis on the website and apply there: https://www.msca-agile.eu/ Deadline: 30th of April, start date September 2026. Note: MSCA mobility criteria apply: To apply for a project in your
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 days ago
or Geoinformatics, or related areas and to be enrolled PhD. Candidates will be assessed according to the project team’s needs regarding geospatial data and remote sensing for analysis, interpretation, and application
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for cryo-electron microscopy (cryo-EM) data analysis, modeling conformational heterogeneity, and identifying optimal binding candidates, by integrating image analysis and docking across multiple structural