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to prepare cryosections of biological samples and assist with MALDI imaging experiments and data acquisition. Maintain clear, complete, and well-structured documentation of all experiments, protocols
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responsibilities: Develop and extend the theory of spin-orbit torques used in AI4SPIN, going beyond the current linear-response, spin-only description. Incorporate orbital degrees of freedom into the formalism
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existing experimental results and guide the design of future carbon-based electronic and optoelectronic devices. Requirements: Education: Master in materials science or engineering, PhD in materials science
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should have a Ph.D., an outstanding record of research accomplishments, an innovative future research plan, an ability to achieve teaching excellence at both the undergraduate and graduate levels, and a
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. Requirements: Education: A Bachelor and Master Degree in Nanoscience and Nanotechnology, Biotechnology, Chemistry, Materials Science or similar. (Candidates must be in possession of their master degree at call
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release, etc. - Perform technical reports, assistance to technical meetings and manage the data storing and analysis (including AI). Requirements: Education: -A Bachelor and Master Degree in Nanoscience
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(CV, GCD, Impedance) for cell characterization. - Writing scientific reports. Requirements: Education: Degree in Chemical Engineering, Material Science and/or Chemistry. Master holding would be a plus
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within the project ERC-CoG TRIBOMED (G.A. 101125401) that aims to design and produce novel energy harvesting devices for the development of self-driven neural interfaces. Requirements: Education: Msc in
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programme. Requirements: Education: PhD in chemistry, chemical engineering, materials science, biochemistry or equivalent. Knowledge: Extensive expert use of an array of physicochemical and materials
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CIC bioGUNE (Asociación Centro de Investigación Cooperativa en Biociencias) | Bilbao, Pais Vasco | Spain | 3 months ago
for designing neuronal cell conversion protocols. The selected candidate will develop a computational platform to identify hierarchical combinations of cell fate conversion factors, which will in turn be used