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biomedical engineering research. The CPAMS Research Group is looking for a dynamic and independent post-doc interested in computational modelling of cardiovascular and respiratory physiology to improve
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Your profile Candidates should have an exceptional academic record and a robust mathematical foundation. They should have published works at the main conferences in the field of machine learning, such as ICML, NeurIPS, ICLR, etc. Excellent communication skills and fluency in English (spoken and...
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the idea of building global infrastructure to make pathogen sequencing more accessible, interpretable, and equitable? This post-doctoral position offers a unique opportunity to work at the intersection
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Language Processing Appl Deadline: none (posted 2024/10/07) Position Description: Apply 2025/04/30 11:59PM Position Description The Institute for Computer Science, Artificial Intelligence and Technology (INSAIT
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science, chemistry, electrical engineering or a related discipline Strong background in materials informatics and data science Proficiency in Python programming Experience in machine learning for materials
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, Geneva 95616, Switzerland [map ] Subject Area: Physics / Experimental Particle Physics Appl Deadline: 2025/08/15 11:59PM (posted 2024/09/03) Position Description: Apply Position Description
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https://www.biozentrum.unibas.ch/bumann tackles these challenges by analyzing patient biopsies using advanced imaging techniques and mass spectrometry. The post-docs will lead projects investigating how
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international research community starting in October 2025. The ideal candidate possesses a PhD in materials science, physics, chemistry, electrical engineering, mechanical engineering or related fields. Prior
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University of Basel, Condensed Matter Theory and Quantum Computing Position ID: University of Basel -Condensed Matter Theory and Quantum Computing -POSTDOC [#21540] Position Title: Position Type
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-read (Illumina) and long-read (Nanopore) platforms; implement hybrid metagenomics assembly strategies using high-performance computing infrastructure • Coordinate/supervise sample collection (clinical