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, unique research programs. Applicants with experience working with demographics are preferred. Applicants are encouraged to show strong problem solving skills and creativity. Must have PhD in Astronomy
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, probabilistic models Representation learning, self-supervised learning, foundation models Data analysis, non-linear statistics, knowledge management Your profile PhD in Computer Science, Bioinformatics
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psychophysics and statistics Good command of Matlab or a similar programming language Very good command of the English language in spoken and written form Research experience as evidenced by conference
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plus. Candidates with expertise in either modality are also encouraged to apply. Ideally, applicants for the position should satisfy the following requirements: PhD degree in hearing science, audiology
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
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at the University of Liverpool. You will be part of an exciting Liverpool-based UKRI-funded programme of research called ¿SCHOUSE: Supporting Communities in social Housing and Optimising Urban food System
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to obtain, a PhD qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of â˜omicsâ™ datasets. Hands-on experience
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mass spectrometry (especially GC-MS) and programming (e.g. R), statistical knowledge for omic-scale research questions Scientific publishing experience in renowned, subject-relevant peer-reviewed
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career in research or academia. Participate in the University’s Individual Development Plan policy for postdoctoral scholars, have a PhD or equivalent terminal degree (such as MD, DVM, PsyD, PharmD, etc
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require close cooperation with other research groups. The position requires PhD in computer science, engineering, or a related field Excellent research track record in AI and sustainability or cloud