Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : 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. N° de réf. du vendeur 9786209444074
Quantité disponible : 1 disponible(s)
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9786209444074
Quantité disponible : Plus de 20 disponibles
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9786209444074
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Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. N° de réf. du vendeur I-9786209444074
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 108 pp. Englisch. N° de réf. du vendeur 9786209444074
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9786209444074
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Vendeur : KALAMO BOOKS, Burriana, CS, Espagne
Etat : New. N° de réf. du vendeur KALAMO-9786209444074
Quantité disponible : 1 disponible(s)
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch. N° de réf. du vendeur 9786209444074
Quantité disponible : 1 disponible(s)
Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 135312350
Quantité disponible : 5 disponible(s)
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : 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. N° de réf. du vendeur 9786209444074
Quantité disponible : 1 disponible(s)