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Field
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. While soluble biochemical signals have been extensively studied, the role of physical and structural cues in tissue patterning remains less understood. By developing dynamic biomaterials and synthetic
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of the data in order to decode the mode of action of NPPs in the context of mammary tumorigenesis. The doctoral research program is structured around two integrated research axes: Axis 1: Colloidal
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concepts Structure–property relationships in bio-based materials Advanced characterization techniques (e.g. NMR, GPC/SEC, mass spectrometry, thermal analysis, mechanical testing) Your PhD research will
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a vyústia do definovania praktických a teoretických súvislostí nevyhnutných pre efektívne riadenie marketingovej komunikácie v praxi. More information about PhD position: https://fem.uniag.sk/en
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Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences | Czech | about 2 months ago
/ Chromatin Structural Biology Tutor: Ing. Václav Veverka, PhD Field of study: Cell biology Apply: https://www.uochb.cz/en/call-for-phd-applications Where to apply Website https://www.uochb.cz/en/call-for-phd
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. For the Working Group “Ecosystems in Transition” in RD1 at PIK, we are offering a PhD position (m/f/d) (Position number: 10-2026 PhD ARTECO) in the field of ecological modelling of complex arctic landscapes
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Understanding the dynamical evolution, stellar populations, and structural properties of dense
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Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 May 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Not Applicable Job Status Full-time Hours Per Week 37.5
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with Master degrees with technical publications and research experiences in structural engineering, structural dynamics and protective structures are preferred. Application process To apply, please send
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is therefore of both theoretical and practical importance. Your work tasks This PhD project aims to develop structure-aware inference methods for modeling quantum transducers as open quantum systems