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and Qualification Framework level 11) or PhD (Scottish Credit and Qualification Framework level 12). A2. Specialist theoretical and practical knowledge of spinal cord circuitry ideally including tracing
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. Ability to prioritize workload. PREFERRED QUALIFICATIONS : PhD or Master's degree in a relevant field such as data science, bioinformatics, computational biology, or statistics Strong programming skills
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Optimization Develop, debug, and maintain software tools, libraries, and frameworks supporting HPC and AI workloads. Collaborate with the system team and software vendors (e.g., NVIDIA, Intel, Matlab
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pressing problems. For almost 200 years, our community has been deeply rooted in the belief that learning and research should serve society. This commitment to knowledge with purpose – using our expertise as
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experience in developmental biology, mouse genetics, evo˗devo field, or dental-oriented research. For more details, please visit our websites: https://histology.med.muni.cz/jan-krivanek or contact us. The
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students, teaching, and mentoring undergraduate students. The languages of instruction are English and Ukrainian. No knowledge of the Ukrainian language is required. Our teaching workload is approximately 50
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of students in their professional development. Duties include a university-standard in-residence teaching load of 21 credits (equal to 70% of workload) per academic year, some of which may be assigned at a
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funded by the International Collaboration Projects call of the Instituto de Salud Carlos III. Co-financed by the European Union. Project code: AC24/00151.” Where to apply Website https
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Researcher (R1) Positions PhD Positions Country Norway Application Deadline 7 Jan 2026 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the job funded through the EU
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: Bachelor's degree in engineering or an advanced degree (MS or PhD) in physical sciences. Two years of experience in a university tech transfer office. Preferred Qualifications: Understanding of technology