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). The successful candidate will be part of an active and interdisciplinary team of physicists and mathematicians, working at the interface of soft matter, robotics, statistical physics, and artificial intelligence
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Department of Epidemiology and Environmental Health Posting Number P260080 Posting Link https://www.ubjobs.buffalo.edu/postings/61888 Employer State Position Type UUP Professional Professional Appointment Term
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the limits of high-resolution metagenomics (https://github.com/falklab ). The ideal candidate: The ideal applicant holds a PhD (or equivalent) in biology, bioinformatics, computer science or a related
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in the coastal zone; (iii) knowledge of the ecology of sandy beaches; (iv) experience in statistical analysis on R. Where to apply E-mail ufficio.protocollo@cert.szn.it; stazione.zoologica@szn.it
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engineering : 3-5 years -Statistics : 1-2 years -Basic programming skills will be valuable Additional Information Benefits Fully funded 3-year PhD position (salary according to French doctoral funding standards
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whole genome, metagenomic and metatranscriptomic, as well as plant transcriptomic datasets with an emphasis on statistical methods. You will also work towards the integration of these multi-modal datasets
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://www.academictransfer.com/en/jobs/359468/biostatisticianstatistical-cons… Requirements Specific Requirements The successful candidate is a biostatistician with a PhD degree, preferably in statistics, biostatistics
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Instructor in Statistics to begin September 1, 2026. This is a two-year appointment for the 2026–27 and 2027–28 academic years. A PhD in statistics, biostatistics or data science in hand or imminent completion
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Statistical analysis of extreme precipitation at the global scale by means
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, business administration, business law, informatics, economics, statistics, and research policy. Lund University School of Economics and Management is accredited by the three largest and most influential