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feasibility, spatial placement and configuration of NBS and evaluate their performances from a decision support context. The successful applicant must ensure AI and machine learning technologies are well
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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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), spatial statistics, or cloud computing Experience working in collaborative research teams Valid driver’s license and be able to successfully pass a driver’s record check Physical Requirements & Working
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through the development of more effective diagnostic and therapeutic approaches. Qualifications and Experience · PhD in Bioinformatics, Computational Biology, Statistics, Genetics, Genomics, or a
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excellence. Assisting in the mentorship of junior analytical staff members and graduate students QUALIFICATIONS A PhD in computational biology, bioinformatics, statistics, computer science (Machine Learning
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initiatives as needed. You might be a fit if you: Have a PhD in computer science, statistics, applied math, computational biology or related discipline Strong programming fundamentals and statistics knowledge
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English English PhD Research Fellow in Formal Methods and Knowledge Representation for Engineering Information Apply for this job See advertisement About the position We invite applications for a PhD
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/bibliography/public/ Minimum qualifications include a terminal degree (PhD) in Virology, Immunology, Genetics, Biotechnology, Molecular Biology, Biochemistry, or related discipline. Prior experience working with
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in a PhD. Requirement for granting the fellowship: The applicants may apply without prior registration in the course for which the fellowship is open. The requirement to enroll in a degree course will
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16th August 2026 Languages English English English Join UiT in Tromsø for a PhD project at the University Museum PhD Fellow in Ancient sedimentary DNA of Freshwater Fish and Ecological Interactions