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aims to develop physics-informed artificial intelligence tools for single-molecule fluorescence microscopy. The PhD student will focus on designing AI-based methods for quantitative analysis of protein
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pohonons and orbital magnetization dynamics in nanodevices ChiPhonOrb The candidate will perform experiments in nanodevices where acoustic signals can be triggered. MOKE microscopy, ac-dc magnetoresistance
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of Medicine and Health Sciences of the University of Barcelona. Where to apply Website https://t.ly/T0fdr Requirements Research FieldBiological sciencesEducation LevelMaster Degree or equivalent Research
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details: https://seu.ub.edu/ofertaPublicaCategoriaPublic/cercadorPublicacio/833627 Where to apply Website http://www.ub.edu/caiac/solBeca?idConvocatoria=50374 Requirements Research FieldPhysicsEducation
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., published articles, conference contributions, book chapters). Particular consideration will be given to expertise in characterization techniques such as Electron Microscopy, UV-Vis Spectroscopy, XRD, FTIR
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microscopy, iv) tune symmetry with gating and stacking order to realize deterministic, field-free switching and v) identify the dominant charge to spin conversion channels. The project advances fundamental
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characterization techniques (e.g. Raman, AFM, SEM, TGA, dynamic light scattering, spectrophotometry, electron microscopy, XPS, HPLC) Conduct biophysical studies to evaluate the diffusion, adhesion and interaction
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their performance using microplate reader measurements, flow cytometry and fluorescence microscopy, among other techniques. After building and characterizing prototype circuits, you will fine-tune them and connect
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. The following documentation must be attached: Cover letter The candidate's curriculum vitae (CV) (include a mobile phone number and contact email address). Photocopy of their national