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skills in Python, Java, C++, etc. A solid foundation in generative AI, machine learning, and related areas. An Interest in eye-tracking technology, Computer Vision, Speech/ Language Processing, VR, and AR
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it comes to running experiments an affinity to AI technology (incl. machine learning, computer vision) (German) permit to perform animal experiments (equivalent to FELASA B or C) desirable previous
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research. We advance the understanding of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing
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of concept and transfer to industrial implementation. Various modern methods of plant biotechnology from the fields of process engineering, biochemistry, and analytics are of utmost importance for this. Be
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involved in the Schmidt Sciences project MountAInWater, coordinated by the Institute for Science and Technology Austria (ISTA). The position is funded for 2 years (Postdoc, 100%, 40h per week) or 3 years
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world with increasing digitalization and medical needs. Our research integrates materials chemistry, biological processes, physical analysis, process engineering and data science. We collaborate with
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further both professionally and personally in an interdisciplinary setting. Position The DWI is looking for a Postdoctoral researcher to develop new granular biomaterials for tissue engineering purposes
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technology. The team consists of four PIs at Universita degli Studi di Firenze, Northwestern University, Universita degli Studi di Parma and Freie Universität Berlin together with partners at Weizmann
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. Collaborate with a dynamic, interdisciplinary team that combines science, sustainability, and technology to create a better future. Help shape the next generation of sustainable materials inspired by nature’s
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learning, medical image computing, biomedical engineering, medical physics, or related field Strong Python and PyTorch experience Solid publication record and ability to communicate research results