Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
. The Nanomedicine Lab has been awarded various grants, such as the ERC Synergy SKIN2DTRONICS, the Plan Nacional project EGOLoco and others in collaboration with various colleagues and international and national
-
call ICN2-SO Technology Valorisation Programme, supported by the Severo Ochoa Grant CEX2021-001214-S/MICIU/AEI/10.13039/501100011033 The selected candidate will contribute to the technical execution
-
on qualifications and demonstrated experience. Support to the relocation issues. Life Insurance. Work-Life Balance and Flexibility with flexible work schedules 28 holidays per year Flexible compensation plan: tax
-
. Work-Life Balance and Flexibility with flexible work schedules 28 holidays per year Flexible compensation plan: tax advantages contracting some products (health insurance, childcare, training, among
-
different areas of nanoscience and nanotechnology. Quantum Initiatives at ICN2: ICN2 is actively involved in national quantum initiatives, including the Quantum Communication National Plan, as
-
, engineering or physics. Knowledge: Computational programming, machine learning, quantum transprot, device simulation. Professional Experience: use of device simulation codes applied to 2D materials. Personal
-
. Engaging in regular group meetings, training activities, and interdisciplinary seminars at ICN2 as part of the PhD training programme. Requirements: Education: Master's degree in Materials Science, Chemistry
-
Physics, Materials Science, Nanotechnology, or equivalent degrees Knowledge and Professional Experience: Experience in energy harvesting Experience with COMSOL simulations Experience in programming (LabView
-
experience. Support to the relocation issues. Life Insurance. Work-Life Balance and Flexibility with flexible work schedules 28 holidays per year Flexible compensation plan: tax advantages contracting some
-
Research Engineer - Tools developer for LSQUANT platform (Theoretical and Computational Nanoscience)
. Create tools to handle large files trnasfers in the backend. Requirements: Education: Bachelor in physics or electrical/ mechanical engineering Knowledge: General programming knowledge proefficiency in