32 student English-speaking jobs in Erlangen

Organization Grid Technologies Business Unit Digital Grid Full / Part time Full-time Experience Level Student

Location: ERL S SP 11 Mode of Employment: Part-time / Fixed Term A Snapshot of Your Day As a Working Student

Minimum level of education required HS Diploma or GED Minimum level of experience required Student

Shape the future of digital transformation with usAt Siemens Digital Industries Software, we’re not a manufacturing company — we’re a growing software powerhouse, delivering tomorrow’s innovations to customers today. With the strength of a global leader and the agility of a tech innovator, your journey with us starts here.

depending on your role, which may include: Co-development of supporting software tools The placement student

S4) such as MM, SD, EWM, PP, MES is a plus.Up to 36 months of practical experience from internships, student

FAU pursues a policy of intense student mentoring and therefore expects its teaching staff to be present

Your TasksInvestigating neural dynamics and coding that organize the activity of neural circuits underpinning instinctive (innate) behaviors Using in vivo electrophysiology, opto-, chemogenetics, and machine learning approaches Perform data processing and signal analysis to identify patterns of network oscillations Work closely with our research team to discuss findings and plan further studies Pr

The Institute of Medical Biotechnology (MBT) is searching for a highly motivated candidate to fill in a PhD position (Dr. -Ing. ) in High Pressure Bioengineering in the fields of Optical Technologies, Advanced Microscopy, High Pressure Biotechnology and Process Engineering and Muscle Biology Ihre AufgabenThe project follows a DFG-funded research project over three years.

plusSignificant practical work experience up to 36 months including knowledge from internships, working student

tools is an advantage  Ideally you have acquired some professional experience before with internships, student

Qualifikationen : Desirable Qualifications A strong publication track record for your career stage, including papers in MICCAI, CVPR, ECCV, or prestigious Q1 journals like IEEE TMI and Medical Image Analysis. Experience in teaching, research organization, or industrial collaboration. Familiarity with self-supervised learning, category theory, or human-in-the-loop systems is a bonus! Why FAU?