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systems. Predictive understanding of these interactions is essential for rational formulation design, but reliable theoretical models for these systems remain underdeveloped. This PhD project will develop
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mathematical modelling and simulation. Partial differential equations will be applied to model drug distribution and partitioning in multiphase systems using the drug’s partition coefficient as a driving force
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) on “Biogeochemical Modelling” starting as soon as possible. The position offers the possibility to attain a doctoral degree in natural sciences. Job Description We are seeking a highly motivated PhD candidate
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of material behavior to the development of the material to the finished component. PhD position on physics-based machine learning modeling for materials and process design Reference code: 980 - 2026/WD 1
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. This is particularly relevant for high-demand engineering structures, where local stress concentrations often drive damage initiation and limit service life. The PhD will focus on a staggered bottom-up
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– Adaptive & Agentic AI. The PhD project focuses on developing robust and reliable machine learning systems that can adapt at test time under real-world distribution shifts. Modern foundation models (e.g
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Bioanalytic and Biospectroscopy, we invite applications for: Four PhD Candidates (m/f/d) PhD Position 1 “Preclinical Models” (65%, Bioimaging Group) Ref. Number: 395_2026 PhD Position 2 “Omics-based analysis
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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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PhD Positions in Responsible AI 39 Faculty of Computer Science Startdate: 01.08.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 01.08.2029
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A funded PhD position at SDU Physics - Interdisciplinary research within experimental soft matter...
involves maintaining cell cultures and working with optical microscopy and micro-fabrication, as well as some numerical modeling. During the PhD study you will also be engaged in teaching and outreach