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Atestat implantologie orala

Atestat implantologie orala - prof. AUGUSTIN
An universitar 2012 - 2013
Taxa: 6300ron (se plateste in doua transe)

Dosarele vor fi depuse in str. Bodesti nr.1
Persoana de contact: Dr.Denissa Serban
Telefon: 624 19 66
Dosarul pentru inscriere va contine copii dupa urmatoarele documente:
  1. FORMULAR INSCRIERE
  2. DIPLOMA MEDIC
  3. BULETIN

ACORDUL ANGAJATORULUI( DACA ESTE ANGAJAT) SAU COPIE DUPA CERTIFICATUL DE INREGISTRAE EMIS DE CATRE DSP( PROPIUL CABINET)

Publicatii

» The Use of Minimal Invasive Surgery versus Open Approach in Hospitalized Cases. A Study Analysis of the DRG Romanian Database 2008-2018
» N-Pep-12 supplementation after ischemic stroke positively impacts frequency domain QEEG
» Romanian GPs Involvement in Caring for the Mental Health Problems of the Elderly Population: A Cross-Sectional Study
» Resource use during systematic review production varies widely: a scoping review
» Societal Cost of Ischemic Stroke in Romania: Results from a Retrospective County-Level Study
» "Top-Three" health reforms in 31 high-income countries in 2018 and 2019: an expert informed overview
» To what extent is Romania prepared to join Health Technology Assessment cooperation at european level
» Rapid assessment of other technologies using the HTA Core Model®for Rapid Relative Effectiveness Assessment: Hypoglossal Nerve Stimulation Systems for Treatment of Obstructive Sleep Apnea Project ID: OTCA21
» Rapid assessment of other technologies using the HTA Core Model®for Rapid Relative Effectiveness Assessment: Biodegradable Rectum Spacers to Reduce Toxicity for Prostate Cancer Project ID: OTCA23
» Incidence and time trend of hip fractures in romania: a nationwide study from 2008 to 2018
» Hospital reforms in 11 Central and Eastern European countries between 2008 and 2019: a comparative analysis
» Aggressive Behaviors among 15–16-Year-Old Romanian High School Students: Results from Two Consecutive Surveys Related to Alcohol and Other Drug Use at the European Level
» Time Series Analysis and Forecasting with Automated Machine Learning on a National ICD-10 Database

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