Sujitkumar Gavali
Angestellt, Master thesis, Siemens Healthineers
Student, Computational Neuroscience, Humboldt-Universität zu Berlin
Berlin, Deutschland
Über mich
Actively looking for Internships / Master thesis (Abschlussarbeit)
Werdegang
Berufserfahrung von Sujitkumar Gavali
Bis heute 6 Monate, seit Jan. 2024
Master thesis
Siemens Healthineers
MR artifact quantification using AI
Comparison of different B1+ mapping techniques in a phantom and in the human Brain at 7 Tesla MRI. -Ultrahighfield Magnetic Resonance Imaging, Biomedical magnetic resonance -Basic and advanced MRI
Machine learning prediction of the Intracranial pressure. -Time series analysis and data annotation of the medical data using Python and Label studio
2017 - 2018
Flying Engineer (Beam Physics)
IBA Particle Therapy India
3 Jahre, Jan. 2014 - Dez. 2016
Assitant Manager
Philips India Limited
MRI & CT system installation and maintenance - Cold head maintenance, Helium filing, Deicing, After Quench procedures - Resolving Technical breakdowns of MR Systems - Conducting user safety training's at client’s site - Hands on experience on: MRI Systems(1.5T & 3T): Achieva, Ingenia, Intera, & Multiva MR Post processing systems: Extended MR Workspace, Intellispace portal Invivo Esys FMRI, Sensavue FMRI, Dynasuite, Dynacad, Philips Ambient experience. CT Systems: Brilliance 64, Ingenuity, MX16.
2 Jahre und 10 Monate, Apr. 2011 - Jan. 2014
Service Engineer
Elekta
Maintaining and installing Linear Accelerator system & Neuroscience products - Performing routine & periodic calibrations, Preventive maintenance & upgrades as per company’s requirement - Undertaking QA as per as the AERB and IEEE Protocol - Interacting and maintaining healthy relationships with customers in terms of specific product feedback, new upgrades & installations, contributing to company’s strong hold in market
Ausbildung von Sujitkumar Gavali
Bis heute 5 Jahre und 6 Monate, seit 2019
Computational Neuroscience
Humboldt-Universität zu Berlin
Dual Degree(HU+TUB) Machine Intelligence - MI Models of Neural Systems - MNS Acquisition and Analysis of Neural Data - AAND Models of Higher Brain Functions - MHBF
Bis heute 5 Jahre und 6 Monate, seit 2019
Computational Neuroscience
TU Berlin
Dual Degree(HU+TUB) Machine Intelligence - MI Models of Neural Systems - MNS Acquisition and Analysis of Neural Data - AAND Models of Higher Brain Functions - MHBF
4 Jahre und 1 Monat, Feb. 2007 - Feb. 2011
Biomedical Engineering
University of Mumbai
Biomedical Engineering
Sprachen
Englisch
Fließend
Deutsch
Gut