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-cell spatial transcriptomics and protein data in paired prostatectomy samples and lymph nodes in prostate cancer, and to develop a novel method to classify lymphovascular invasion in primary breast
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of the candidate's training and experience to the objectives of the work to be developed; iii) Experience in monitoring health and comfort data in the context of intelligent systems. 3. Work Plan: i) Develop
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for the construction industry, as well as on ice and arctic conditions-related research and education. Subject description Building Materials includes sustainable building materials and their application technologies
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to develop into an internationally recognized researcher. Subject description Applied Geophysics includes studies of how the laws and methods of physics can be used to understand the properties of bedrock and
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) that connects different countries with the overarching aim to develop cutting-edge human in vitro and in silico biomedical tools to better understand the biology of brain disease/disorders (see: https://visi
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) are desirable. Good written and oral communication skills in English. We are looking for a proactive, enthusiastic and collaborative student with strong analytical skills and motivation to develop innovative
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funding — including an ERC Starting Grant and an EMBO Installation Grant so your research and training will be well supported for years to come. Check out our lab page for more information. Develop a
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Where to apply Website https://t.ly/OcKlA Requirements Research FieldNeurosciencesEducation LevelMaster Degree or equivalent Skills/Qualifications Hold a BSc/MSc in Neuroscience or Translational Medicine
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applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (http://biennialreport2018-2019
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 29 days ago
the information they contain. This project, part of the Helmholtz School for Marine Data Science (MarDATA), will develop new data science methods to improve the interpretation of biodiversity patterns from long