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SD-25157 RESEARCHER IN ATMOSPHERIC PLASMA TREATMENT OF METALLIC SURFACES FOR INDUSTRIAL APPLICATIONS
occupying more than 5,000 square metres, including innovations in all that we do An environment encouraging curiosity, innovation and entrepreneurship in all areas Personalized learning programme to foster
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An environment encouraging curiosity, innovation and entrepreneurship in all areas Personalized learning programme to foster our staff’s soft and technical skills Multicultural and international work environment
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The Ghezzi Lab at University of Massachusetts Lowell is looking for a full-time, fully benefitted Postdoctoral Research Associate to participate in a NIH-funded research program which aims
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: Provision of AI education programs. Important Notices Please note that the InnoCORE research group is not designated as an institute eligible for alternative military service (i.e., not a certified host
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-funded financial support for salary or stipends (e.g., National Research Foundation Mid-Career Researcher Program, Jang Young-Shil Fellow, or similar programs), duplicate funding is not allowed. Applicants
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in real-world scientific contexts. The research program is flexible and interdisciplinary. AITHYRA, the place where magic happens! The mission of AITHYRA , the new Research Institute for Biomedical
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, require limited supervision and high-level of independence are highly desirable. About the lab and St. Jude: Our lab focuses on computational methods development and large-scale genomic/genetic analysis
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Are you interested in X-ray imaging and biomineralization and in contributing to an international interdisciplinary Human Frontier Science Program funded project on skeletal adaptations in
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published by our group (Nasri M, Ritter M et al., Mol Therapy 2024; Skokowa et al., NEJM 2021) and is currently funded by the BMBF/SPARK-BIH program. The postdoc will also participate in the development
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and