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mass spectrometry Hands-on use of a mass spectrometry instrument for biomolecular characterisation, data analysis and interpretation Bioinformatic data analysis using statistical software packages
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%). Functional Knowledge · PhD with experience in biological data analysis, preferably -omics and/or microbiome related. Minimum Degree Required PhD, MD, or equivalent Doctoral Degree Preferred
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, the recruited person will explore advances in LISA science and data analysis to prepare for making scientifically compelling discoveries with LISA. Some examples could involve analysis of new frontiers in source
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21 Apr 2026 Job Information Organisation/Company Fondazione Bruno Kessler Research Field Other Researcher Profile Other Profession Positions PhD Positions Application Deadline 19 May 2026 - 23:59
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that capture the fundamental force-generating properties of muscle tissue. The candidate will acquire a unique combination of skills spanning single-nucleus transcriptomics data analysis, quantitative histology
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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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, data analysis, and the review of manuscripts and dissertations. The PhD Researcher shall fully devote the whole of his/her professional activity to NOVA.id.FCT, on an exclusive basis, unless it opts
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advanced model systems Neural circuits and systems neuroscience Full list of all 24 available projects on our website: https://oc10.meduniwien.ac.at/open-phd-positions Requirements / Skills: Master’s degree
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Predoctoral Researcher (PhD Candidate) in Computational Simulation and AI for Therapeutic Ultrasound
of ultrasound propagation • Numerical modelling in heterogeneous media • Artificial intelligence for treatment optimisation • MRI-guided therapeutic ultrasound applications • Clinical data analysis and
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for the personalized 3D morphological feature analysis. Related publications of the team: Nguyen T. N. et al. (2021) https://doi.org/10.1016/j.cmpb.2020.105846 Boutillon A. et al. (2022) https://doi.org/10.1016/j.media