Computer Forensics Jobs in Scranton, PA

6 Jobs Found

Computer Forensics Jobs in Scranton, PA

6 Jobs Found
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We are seeking a highly skilled Support Agent II to join our Customer Support team. Your primary responsibility will be to enhance the customer experience by optimizing the use of our products and providing advanced solutions.You will play a crucial role in maintaining our companys re More...

Employer Active Posted on 25 Jun | Remote | Easy Apply

Support Agent II will serve as a key point of contact for support-related issues. The ideal candidate will have exceptional customer support skills sound technical acumen and the ability to communicate effectively with educational staff via phone email chat and virtual meetings.  More...

Employer Active Posted on 18 Jun | Remote | Easy Apply

Support Agent II will serve as a key point of contact for supportrelated issues. The ideal candidate will have exceptional customer support skills sound technical acumen and the ability to communicate effectively with educational staff via phone email chat and virtual meetings. & More...

Employer Active Posted on 07 May | Remote | Easy Apply

Location:Geisinger Community Medical Center (GCMC)Shift:Nights (United States of America)Scheduled Weekly Hours:36Worker Type:RegularExemption Status:NoJob Summary:Geisinger is proud to offer a full time Inpatient Licensed Practical Nurse (LPN) a $10000 sign on bonus for eligible cand More...

Employer Active Posted on 11 Apr | Full-Time | Easy Apply

Job DescriptionWHAT YOU WILL BE DOINGDevelop and document firearm toolmark evidence.Collect known exemplars for comparisons (toolmark firearm).Analyze and compare specific characteristics that distinguish items. Evaluates strength of support between associated known/exemplar standards More...

Employer Active Posted on 07 Apr | Remote | Easy Apply

Job DescriptionWHAT YOU WILL BE DOINGDevelop and document firearm toolmark evidence.Collect known exemplars for comparisons (toolmark firearm).Analyze and compare specific characteristics that distinguish items. Evaluates strength of support between associated known/exemplar standards More...

Employer Active Posted on 06 Apr | Remote | Easy Apply