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. The department is BTH’s largest department at BTH with 70 people. At the department, research is conducted in two major areas: computer science and engineering and visual and interactive computer science
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and devices. This PhD project will leverage Dynamic TEM (DTEM) to directly visualize irreversible microstructural changes in materials in real time, capturing transformations on timescales ranging from
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(fulltime) for Research Doctorate (PhD) studies Remuneration: The successful applicant will receive A Research Living Allowance, at current value of $37,145 AUD per annum for PhD (2026 rate with annual
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for this job See advertisement About the position A PhD position is available at the Department of Physics at the Faculty of Science and Technology . The PhD position is for a period of 3 years, with a desired
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at the Visual Optics Lab Antwerp (VOLANTIS) on the preparation and defence of a PhD thesis in the field of Optometry and Ophthalmology. The project involves developing a mathematical model of human eye
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. Expertise in either scientific programming (C/C++/Python/Matlab/R) or experimental immunology (Flow cytometry, next generation sequencing) with experience in scientific data visualization (Python/Matlab/R) is
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holder in the field of Medicine Position You will actively work at the Visual Optics Lab Antwerp (VOLANTIS) on the preparation and defence of a PhD thesis in the field of Optometry and Ophthalmology
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therapies in oncology. Throughout your PhD, you will spend a significant period working at the Servier research facilities in Saclay, France, providing a unique opportunity to gain experience in both academia
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 3 months ago
immunology with deep focus on T cells and Treg biology Hands-on experience with in vivo mouse models (FELASA certification is a strong plus) Practical experience in flow cytometry (FACS), including protocol
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specialist assessment, intervention and support at an earlier stage. However, subtle neuromotor indicators can be difficult to identify reliably through visual observation alone. This PhD project aims