10 phd-data-analytics Postdoctoral positions at University of Southern Denmark in Denmark
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interest A PhD in Biomedicine, Immunology, or a related field Expertise in flow cytometry and cellular biology Experience with in vivo mouse models Strong analytical and problem-solving skills Excellent
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in the face of climate change. You will: Conduct ecological fieldwork at research sites in Sweden and Denmark. Collect and analyse phenological data using camera and drone-based imagery. Use genetic
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models. Strong analytical skills and the ability to work both independently and collaboratively. For further information, please contact professor Birgitte Haahr Kallipolitis, bhk@bmb.sdu.dk Application
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areas. At least one first-author publication, accepted or submitted Strong analytical, organizational, and record-keeping skills Proficient computer skills, including MS Office and research software
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colleagues and researchers Essential qualifications PhD in neurobiology, cell biology, molecular biology, epigenetics or biochemistry. At least one first-author publication, accepted or submitted. Previous
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experience in one of the following topics: ● visualization & visual analytics ● human-computer interaction ● computer vision ● natural language processing or computational linguistics Experience in
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methodology such as linear mixed models, the bootstrap and delta method, and meta analytic approaches for aggregated and individual-level data from the project database, encompassing large-scale data from
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PhD in Molecular Biology, Cancer Biology, or a related field Expertise in molecular and cellular biology techniques Experience with in vivo cancer models Strong analytical and problem-solving skills
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NextFlow is a plus. Programming experience is required (Python, R). Previous experience in Genomics data analysis Strong analytical, organizational, and record-keeping skills Interest in working in a
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teaching and supervision as required Expectations of qualifications PhD in Data Science, Deep Learning, Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent Excellent track