10 phd-position-in-image-processing-"Multiple" Postdoctoral positions at Nature Careers
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research is based on large and high-dimensional datasets across multiple modalities, including molecular, clinical and histopathology imaging data. Our computational pathology research is based
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(cryo-) NMR facilities at Kiel University. We lead or participate multiple collaborative EU or national research projects. Working language in the group is English. The position is available for a funding
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Post-doctoral researcher (m/f/d)in ‘‘Marine Microbial Natural Product Chemistry’’ The position is available for 3 years starting at the earliest date possible. Job Description Innovative cultivation and
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Area of research: Scientific / postdoctoral posts Job description: Postdoc positions in Computational Health (f/m/x) 102675 Full time 39 hrs./week Neuherberg near Munich Partial Home Office possible
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energy-related data and model harmonization aspects, through a postdoctoral position. You will join a collaborative and multidisciplinary team and will act as a reference expect on data and model
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of scholarship The amount is tax free and it is set for twelve months at a time, paid out on a six months basis. In exceptional cases, shorter periods may be acceptable. Application process
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Technology (SIPT) Unit. At the SIPT Unit, we are committed to advancing the frontiers of science and technology through the development of innovative instruments and methodologies across multiple domains
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application includes: A detailed CV A one-page summary of past research activities (e.g. in PhD/PostDoc projects) A one-page letter of intent describing your motivation for this position, how your research
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. Required qualifications for the position: PhD degree in geophysics, physics, engineering, or similar. In-depth experience and proven expertise in electromagnetic forward and/or inverse modelling. Strong
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students and Postdocs who are developing new techniques to assess tire performance. The Postdoc position connects more specifically with PhD students to build driver digital twins from ontological models and