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Appointment Term: Initially 1 year, renewable Appointment Start Date: Start date is negotiable. Group or Departmental Website: https://www.huttenhainlab.com/ (link is external) How to Submit Application
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data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in industry Further development of your personal strengths, e.g. via a
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and training provision within CAFE-BIO are available from the network website ( https://cafe-bio.org ) and the official EU page for the network ( https://cordis.europa.eu/project/id/101226762
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staff position within a Research Infrastructure? No Offer Description Title: “Synthetic Dataset Generation Technique to Optimize Neural Network Training for Seismic Data Prediction” Research Area
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Nevada System of Higher Education System Office | North Wilkesboro, North Carolina | United States | about 1 hour ago
, firewalls, servers, racks, cabling and power. The incumbent also provides the highest-level data and video network engineering, operations and security support services to NevadaNet constituents as required
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- Management of the research group's website and social networks Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements Research FieldEconomics » Applied economicsEducation
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Currie European Training Network programs Website for additional job details https://www.hb.se/en/about-ub/work-at-ub/how-to-apply-for-a-job-with-us/ Work Location(s) Number of offers available1Company
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Details Title Onnela Lab Postdoctoral Research Fellow Position in Network Science / Causal Inference School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position
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) communication network Where to apply Website https://www.unimore.it/it Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy Eligibility of fellows: country
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processing, neuromorphic engineering, or a closely related field. A solid background in machine learning is expected, with interest or experience in spiking neural networks, temporal modeling, or bio-inspired