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Proficiency: Skills in programming languages suitable for numerical simulations and statistical analysis (specifically R or Python). · Analytical Skills: Proven ability to handle complex mathematical
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and determination? We are currently seeking a/an University Assistant postdoctoral 56 Faculty of Mathematics Startdate: 01.05.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit
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-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally optimize existing pipelines, we are interested
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[map ] Subject Areas: Mathematical Physics High-Energy Theory / Quantum Field Theory Appl Deadline: 2025/12/17 23:59:00 (posted 2025/12/13, listed until 2026/03/22) Position Description: Apply Position
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for geometric PDEs, in particular for fluid problems posed on surfaces. Both theoretical analysis of numerical methods and code development. Job requirements: PhD in mathematics or applied mathematics, experience
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both mathematics and statistics and is highly research oriented. Additional information about the department may be found at https://www.math.msstate.edu . Requirements for a postdoctoral position
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, VASCOVID and REHAB COVID projects. It will be carried out in collaboration with Parc Tauli Hospital (PI: Jaume Mesquida). The fellow will be in charge of data acquisition, analysis and interpretation as well
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on metric spaces. 2. Participate in the activities of the Analysis on Metric Spaces Unit. 3. Assist tutoring and mentoring students. Qualifications: (Required) 1. PhD in Mathematics with research interests
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, computer science, artificial intelligence, or mathematics/statistics, with a PhD in one of these fields or a closely related field, and interested in applying this skillset to the analysis of music data. The place
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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