Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. The recruitment ecosystem has undergone significant evolution in recent years, driven by the increasing demand for remote hiring, digital profiles, and scalable talent hiring processes. Traditional recruitment methods are time-consuming, inefficient and lack of personalization among recruiters and job seekers. To address these limitations, this thesis presents the design and development of a hybrid e-recruitment drive system utilizing the MERN architecture, comprising MongoDB, Express JS, React JS, and Node JS. This system provides a unified interface for both Candidates (Job Seekers) and Recruiters (Employers), offering personalized dashboards, profile creation (showcasing portfolios), job posting, application tracking, an intelligent auto job matching system, ATS-friendly resume builders, and many interactive features. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9786209444074
Quantità: 1 disponibili
Da: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9786209444074
Quantità: Più di 20 disponibili
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9786209444074
Quantità: Più di 20 disponibili
Da: California Books, Miami, FL, U.S.A.
Condizione: New. Codice articolo I-9786209444074
Quantità: Più di 20 disponibili
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 108 pp. Englisch. Codice articolo 9786209444074
Quantità: 2 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The recruitment ecosystem has undergone significant evolution in recent years, driven by the increasing demand for remote hiring, digital profiles, and scalable talent hiring processes. Traditional recruitment methods are time-consuming, inefficient and lack of personalization among recruiters and job seekers. To address these limitations, this thesis presents the design and development of a hybrid e-recruitment drive system utilizing the MERN architecture, comprising MongoDB, Express JS, React JS, and Node JS. This system provides a unified interface for both Candidates (Job Seekers) and Recruiters (Employers), offering personalized dashboards, profile creation (showcasing portfolios), job posting, application tracking, an intelligent auto job matching system, ATS-friendly resume builders, and many interactive features. Codice articolo 9786209444074
Quantità: 2 disponibili
Da: KALAMO BOOKS, Burriana, CS, Spagna
Condizione: New. Codice articolo KALAMO-9786209444074
Quantità: 1 disponibili
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch. Codice articolo 9786209444074
Quantità: 1 disponibili
Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Modern E-Recruitment System Using MERN | A Scalable Hybrid Recruitment Platform | Swati Choudhary (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209444074 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Codice articolo 135312350
Quantità: 5 disponibili
Da: CitiRetail, Stevenage, Regno Unito
Paperback. Condizione: new. Paperback. The recruitment ecosystem has undergone significant evolution in recent years, driven by the increasing demand for remote hiring, digital profiles, and scalable talent hiring processes. Traditional recruitment methods are time-consuming, inefficient and lack of personalization among recruiters and job seekers. To address these limitations, this thesis presents the design and development of a hybrid e-recruitment drive system utilizing the MERN architecture, comprising MongoDB, Express JS, React JS, and Node JS. This system provides a unified interface for both Candidates (Job Seekers) and Recruiters (Employers), offering personalized dashboards, profile creation (showcasing portfolios), job posting, application tracking, an intelligent auto job matching system, ATS-friendly resume builders, and many interactive features. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9786209444074
Quantità: 1 disponibili