40 algorithm-development-"Multiple"-"Prof"-"Simons-Foundation" Postdoctoral positions in Switzerland
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                of Competence in Research (NCCR) AntiResist . We develop and use state-of-the-art organoid technology to better understand human infections and foster antibiotic discovery. We conduct a wide range of assays 
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                Your position The project aims to develop novel anti-biofilm compounds that can be used to treat biofilm-related infections caused by a range of bacterial pathogens. Based on structural data 
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                . Empa is a research institution of the ETH Domain. The Center for X-ray Analytics develops X-ray methodologies for understanding materials structure in materials science. Our core activities is the 
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                ? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral position in Development and application of computational methods 
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                utilization. The successful candidate will play a significant role in the EU‑funded TIMBERHAUS project (www.timberhaus.eu). Your tasks Develop machine learning models and computer vision algorithms for wood 
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                learning with the physics of laser–matter interaction. Your developments will be directly validated through multiple experimental runs on state-of-the-art laser processing equipment. You will work closely 
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                interaction. Your developments will be directly validated through multiple experimental runs on state-of-the-art laser processing equipment. You will work closely with experts in material science, numerical 
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                data identifying the most resilient and high-performing plant species. Measurements and analyses will be conducted at multiple sites across the EU and integrated with soil-plant-atmosphere modeling 
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                learning with the physics of laser–matter interaction. Your developments will be directly validated through multiple experimental runs on state-of-the-art laser processing equipment. You will work closely 
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                Ideas, SBB, and gfs.bern, you will collaborate with Dr. Andrea Bublitz to develop and validate LLM-assisted pipelines that reduce data-collection costs while maintaining validity for marketing and opinion