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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
real-time analysis of electrochemical processes, developed in the Department of Electrocatalysis, will be applied by You to discover and develop novel Organic Electrosynthetic Protocols. Your tasks
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approach, REUNATECH supports the European Green Deal, Sendai Frame-work, and UN Sustainable Development Goals. DCs will benefit from an immersive training structure comprising cross-sectoral secondments
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and image analysis. Programming skills in Python and ImageJ are advantageous. Interest in interdisciplinary and international teamwork. Excellent written and spoken English. Our Offer: We work on the
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Multidimensional Omics Data Analysis You will be responsible for Prediction of metabolic activity in complex microbial communities, leveraging
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Your Job: You will work in the Electrocatalytic Interface Engineering department, which is headed by Prof. Dr.-Ing. Simon Thiele. The department focuses on the fabrication, analysis and simulation
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strengthen the data science and machine learning activities of the IAS-9 with exciting new topics. You will work in a multidisciplinary team of enthusiastic data scientists, software developers and domain
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Berlin, and the Max Planck Institute in Hamburg. Our work combines physics, chemistry, and materials science – pushing the frontiers of quantum materials research. The overarching goal of the Collaborative
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and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) A high motivation and the ability to work independently with a strong team
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protective forests, and if areas managed for biodiversity conservation can also supply protective functions. Specifically, tasks include: Analysis of protective effects of forests based on a fusion of