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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 5 days ago
# Semiconductor processing and ion implantation # Nanofabrication and cleanroom technologies # Optical spectroscopy # Programming and scientific data analysis (e.g. Python, MATLAB) # Strong analytical and problem
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application! We are now looking for 1–2 PhD students for the Division of Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Within the research unit
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opportunities for technology transfer and innovation Competitive salary and excellent working conditions - more information can be found on our website (https://www.epfl.ch/campus/services/human-resources/en
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models for multiple chronic diseases in real-world data and cohort studies. To successfully work in this position, experience of data-driven analytical approaches, machine learning and advanced
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operations projects at Fermilab. Researching, identifying, and refining project solutions and providing analytics. Providing regular reporting of analysis and progress. You may be asked to perform other duties
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Sciences - Luleå University of Technology (ltu.se) Information Employment as a PhD student is limited to 4 years, teaching and other departmental duties may be added with a maximum of 20%. Placement: Luleå
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. More practical information about working and living in Norway can be found here: https://uit.no/staffmobility UiT via Unsplash UiT How to apply Please note that the application will only be assessed
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, namely in the integration of analytical, environmental and computational data (25%); d) Quality of the interview (10%). All applications will be evaluated on a scale of 0 to 20 points. Only candidates who
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21 Sep 2026 Job Information Organisation/Company Institute for bioengineering of Catalonia, IBEC Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Positions PhD
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/nanoplastics, and other environmental compounds to assess their potential impacts on human health and the environment using machine learning (ML), deep learning (DL), and big data analytics. His lab is