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Biotech Research and Innovation Centre, The Lund Group, University of Copenhagen | Denmark | about 1 month ago
project is conducted in collaboration with the deep probabilistic programming group of Thomas Hamelryck: https://di.ku.dk/english/research/groups/machine-learning-in-biology/?pure=en/persons/271052
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(for instance multislice). Experience with data analysis performed using Python or similar. Personal drive and self-motivated. Good communication skills in English, both written and spoken. Being able
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Danish Confederation of Professional Associations. Information of salary rates can be found at: https://www.sdu.dk/en/om-sdu/job-sdu/international-staff For non-Danish candidates there is an optional
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and the Danish Confederation of Professional Associations. Information of salary rates can be found at: https://www.sdu.dk/en/om-sdu/job-sdu/international-staff For non-Danish candidates there is an
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stage. Very good written and oral communication skills in English. Desirable: Experience with FISH, correlative microscopy, stable isotope probing, or omics data analysis. Experience working with
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RNA and high through-put methods. Applicant should have a high-quality publication record and excellent language (English) skills. Who we are The Department of Molecular Biology and Genetics (https
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• Experience with PyTorch and Tensorflow in Python is an advantage, but not needed for the right candidate Further requirements are English fluency, good writing and verbal communication skills
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conduct a significant amount of work on site at the Academy, which is located on the island of Samsø (https://energiakademiet.dk/). Teaching and supervision As postdoc in the Department of Digital Design
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7, 8000 Aarhus C. Read more about the ABIS Project here: https://www.sdu.dk/da/nyheder/nnf_bevilling_dannelsesbegreb The position The position contributes to the theoretical and innovative work of
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comfortable working with scientific software Demonstrate strong communication skills (in English) and the ability to present and discuss scientific ideas effectively. Scientific production and research