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fusion applications. Postdoctoral Researcher or Engineer (all genders) Heavy-Ion Beam Irradiation Platform for Fusion Materials Posting ID: 26.37-1600 We are looking for applicants with a: PhD or
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management Physics » Chemical physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Sep 2026 - 12:00 (Europe/Paris) Country France Type of Contract Temporary Job
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expression, working at the interface of structural and computational biology, chemistry, and biology. IRB Barcelona is embedded in a vibrant scientific ecosystem and maintains close collaborations with major
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. First class or upper second 2(i) in a relevant subject. To formally apply for a PhD, you must complete the University's application form using the following link: https://www.sheffield.ac.uk/postgraduate
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Degree PhD or Dr rer nat Course location Göttingen Teaching language English Languages The PhD thesis can be written in English or German (with English being the standard). Full-time / part-time
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suppliers and select equipment in agreement with the project leader. Operate and monitor the system using a dedicated interface. Design, validate, and optimize protocols for encapsulating biomass in
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available1Company/InstituteLaboratoire Interfaces et Systèmes ElectrochimiquesCountryFranceCityPARIS 05Geofield Contact City PARIS 05 Website http://www.lise.upmc.fr STATUS: EXPIRED X (formerly Twitter) Facebook
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to the development and implementation of approaches that interface with living systems through novel materials and algorithms, electric and magnetic fields, ultrasound, optics and targeted radiation, microfluidics
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 1 day ago
to shape embryonic development. This role offers a unique opportunity to work at the interface of developmental biology, biophysics, and computational science, contributing to a pioneering effort to
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models