332 computer-science-intern "https:" "https:" "https:" "U.S" Postdoctoral research jobs at Nature Careers
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participating in the program will receive training in genomic analysis, experimental modeling, translational science, and preclinical modeling of childhood hematological malignancies. The training program will
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regulation. We are also actively studying the role of non-canonical translation events in antiviral immunity. The Subramaniam lab is part of the Basic Sciences Division and the Computational Biology Program at
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applications for the department AG Dichgans on the 1st April 2026, in full time, for Postdoctoral Researchers in Vascular Biology, Neuroscience, or Computational Biology – CRC 1744-funded (m/f/d) Scope of duties
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websites https://www.augusthuanglab.org/ and https://www.khoshkhoolab.com/ . Candidate qualifications include: PhD and/or MD in computational biology, bioinformatics, genomics, or other related fields
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, you will join a deeply collaborative international network spanning Cell Biology,Toxicology, Dermatology, and Aesthetic Medicine, with complementary research in animal disease models. This is a unique
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and 95 PhD students. The department is responsible for two educations: Molecular Biology and Molecular Medicine with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk
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. REQUIREMENTS: Doctorate in Biology or related subject (required) Research experience in reproductive biology and/or epigenetics (required) Strong commitment to research in a collaborative environment (required
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scientific excellence, be ambitious and hard working. Only applicants, who seek to be among the brightest in their field and do science at the highest international level, will be considered. We offer DTU is a
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profile PhD in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related fieldStrong research track record, preferably with publications in leading AI and Computer Vision
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Zheng. Your competences You have academic qualifications at PhD level, for example within computational biology, bioinformatics, spatial omics, or related areas. Experience with computational imaging