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Michigan Institute for Clinical & Health Research (MICHR), the Clinical Research Calendar Review & Analysis Office (CRAO), the Fast Forward Medical Innovation, the Biomedical Research Core Facilities (BRCF
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identification, and you will support onward analysis of these datasets. This is a full-time position working 37 hours per week on a fixed-term basis for 12 months due to funding. For more information on Biological
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trained artifical intelligance model for deep sea species identification, and you will support onward analysis of these datasets. For more information on Biological and Marine Sciences please visit our
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Republic, invites applications for tenure‐track positions in Computer Science and related areas fitting and/or expanding some of its current research areas. The Complex Networks and Brain Dynamics group (https
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leading role at the international level, for example in the field of plant and microbial data management, in the evaluation of new methods of genome analysis, in the integration, interpretation, and
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/Administrative Internal Number: 1116558 Position Summary The Michigan State University-Hurley Children’s Hospital Pediatric Public Health Initiative (https://msuhurleypphi.org/) in the C.S. Mott Department
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deal with high data rates (GB/s) and “big data” volumes. To strengthen the support we can offer to the beamlines and their users, we are looking for a Beamline Data Scientist to improve the data analysis
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» Instrumental analysis Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 3 Apr 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Permanent Job Status Full-time
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project funded by the National Science Centre (NCN) entitled “Studies on the replacement ability of bitumen with bio-materials based on multi-performance compatibility analysis”. The work will involve
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on methodological development in cryo-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally optimize existing