Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- University of Southern Denmark
- Aalborg University
- Nature Careers
- University of Copenhagen
- DTU Electro
- Aalborg Universitet
- Technical University Of Denmark
- Aarhus University
- Copenhagen Business School
- Danmarks Tekniske Universitet
- COPENHAGEN BUSINESS SCHOOL
- NKT Photonics
- Technical University of Denmark (DTU)
- Technical University of Denmark - DTU
- Technical University of Denmark;
- University of Groningen
- 7 more »
- « less
-
Field
-
. Read more about our processing of your personal data in the recruitment phase in our Privacy Policy Where to apply Website https://www.nktphotonics.com/careers/ Requirements Research FieldPhysics
-
than 12 months in the past 3 years. Selection process Applications are accepted only electronically through the application form available at https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en
-
typically done by manually adjusting control gains through trial and error - a time-consuming process that is increasingly unreliable as grid conditions shift from minute to minute. This PhD project will
-
industry. Responsibilities and qualifications Your overall focus will be to advance the development of a sustainable photochemical reduction process for PFAS mineralization using a green reducing agent. You
-
. The PhD will be within the respiratory and critical care group (rcare) at the Department of Health Science and Technology https://vbn.aau.dk/da/organisations/respiratory-and-critical-care-r-care. Here you
-
of infection biomarkers of pathogens found in environmental isolates from water processing and air-cooling devices. Focus on pathogens from the Legionella genus, and the detection of pathogen surface proteins
-
selection process Applications will be assessed by an assessment committee. Shortlisting may be applied, and only shortlisted candidates will receive a written assessment. Read about shortlisting at SDU
-
particular EEG responses, thereby mapping stimulus-response relationships in both space and time. Understanding these dynamic informational patterns is key to revealing how the brain tracks, processes, and
-
with expertise in digital signal processing methods, and machine learning methods for amplitude and phase noise characterization of optical frequency combs, recovery of dual-comb measurement signals and
-
integrating with modulators. The project will among others consist of the following tasks: Study nonlinear process for OFC wavelength conversion from telecommunication to mid-infrared; Study different schemes