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position within a Research Infrastructure? No Offer Description Description of the workplace This postdoc position will be part of the Lund LDMX group, LunDMX , embedded in the Division for Particle and
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postdoctoral researcher in AI modeling. The position will be embedded in the AICell Lab at KTH and SciLifeLab. The successful candidate will collaborate closely with Avlant Nilsson’s cancer cell modeling lab
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research Embedded within the Section of Epidemiology, Department of Public Health, University of Copenhagen, the Social Magnifier research group focuses on selection in cohort studies and aims to advance
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tandem solar cells. The position is embedded in the Photovoltaic Materials and Devices (PVMD) group, in close cooperation with TU Delft colleagues and industrial partners. You will work in a
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deposition (ALD) technologies for next-generation perovskite-silicon tandem solar cells. The position is embedded in the Photovoltaic Materials and Devices (PVMD) group, in close cooperation with TU Delft
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; Ability to interact with data and software programmatically (for example, familiarity with Python scripting) Strong command of written and spoken English, including the ability to effectively communicate
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Robotic Systems. Proficient programming experience in embedded, real-time software in C/C++ and Python with several years of practice. Experience in maintaining high-quality code on Github. Ability
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integration of hardware and software of robotic systems. Demonstrable research experience in conducting experiments for Field Robotic Systems. Proficient programming experience in embedded, real-time software
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modelling and faster digital technologies. We pride ourselves on closely aligning our teaching with the University’s research‑intensive ethos. Research‑led learning is embedded at every stage of our
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postdoctoral in Biological Data Systems to develop scalable data infrastructure and computational systems for large biological datasets. The position will be embedded within the Human Protein Atlas at KTH and