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develop new modeling methods and new models; they will apply those models to simulate neural responses and design new therapies. The applicant will also gain exposure to other projects in the lab, spanning
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stakeholders and enhance the GALLANT datahub. The job requires expertise in AI/statistical/data analytics research methods, familiarity with the use of traditional and new forms of data, and an interest in
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, post-doctoral scientists, PhD and MSc students to design and undertake high quality experiments aimed at developing and evaluating better treatments for patients with glioblastoma and other brain
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of research staff (contract type: open-ended contract; job category: senior technologist) to collaborate with the funded line of research “Machine learning methods and models for acoustic and sound signals
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to master both. As formal qualification you must hold a PhD degree (or equivalent). If you are applying for the associate professor position you should also have academic qualifications equivalent to those
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assigned. Required Qualifications PhD in engineering, physics, mathematics or other related applied sciences. Five years of experience in theoretical and numerical evaluation of finite element methods
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the public engagement of science, and the translation of research findings into improvements in health care. • Assist in the training of PhD students and other members of the LMB. • To draft scientific
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assistance in the supervision of PhD students Your Profile... The candidate should possess a Ph.D. degree in Engineering, Computer Science, Applied Mathematics or affine. With a proven record of accomplishment
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. These methods are implemented in practical lab work done in teams. Oral skills are developed in tutorials and team discussions and by making formal presentations. Written skills are developed in reports related
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on research projects. Purpose In this role, the Biostatistician will collaborate closely with a PhD-level statistician and senior research leaders to co-develop a new statistical consulting service