83 machine-learning-phd-in-netherland Postdoctoral positions at University of Minnesota
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the ability to quickly learn new things and work independently, along with previous research experience in at least one of the following areas: 1) statistical genetics/genomics/omics, or 2) deep/machine
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nuclear physics detectors. Experience analyzing data from high energy or nuclear physics experiments. Familiarity with Monte Carlo simulations. Familiarity with machine learning techniques. About the
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the application of machine learning techniques (e.g., doc2vec, encoder models, multi-modal embeddings, large language models) to map concepts and their relationships, tracing how they change, merge, or diverge
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including O-RAN based network systems and testbeds to support emerging 5G/NextG user cases (10%) Dissemination via articles, conference presentations Qualifications Required Qualifications: PhD in
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, applicants must have a PhD or PsyD in clinical, counseling, or school psychology and have completed an APA-accredited internship Preferred Qualifications: Preference will be given to applicants with
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machine learning analyses will be performed to determine correlations across stimulation settings and body systems as well as to develop predictive models and biomarkers for physiological and clinical
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computer science programs (Chemical Engineering, Civil and Environmental Engineering, Computer Science, Electrical and Computer Engineering, and Mechanical and Industrial Engineering). This two-year
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Required Qualifications: PhD in physiology, biochemistry, biology, chemistry, engineering, or related field Demonstrated training in one or more of the following areas: metabolism and metabolic diseases
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presenting at scientific conferences 10% mentoring – training graduate and undergraduate students in the laboratory Qualifications Required Qualifications PhD or equivalent in Biomedical Engineering, Materials
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PhD in Animal Science, Biology, or related field Prior experience in cell culture, cellular and molecular biology techniques Previous experience working with large animals (preferably cattle) in a