Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
Vitae Diploma Template for applicant - postdoc A list of publications A teaching portfolio. We refer to Guideline on the use of teaching portfolios A maximum of five of the publications of greatest
-
Vacancies Postdoc position on Form Adaptive Multilayer Engineering (FAME) Key takeaways Staying in focus is a fundamental challenge in highly demanding optical systems where imaging plays a central
-
to regulate metabolism. We are interested in how these EV-mediated signals contribute to pathology in obesity and diabetes with the hope that we can harness this information to treat human disease. Job
-
, creative, independent, and enthusiastic scientist to further our basic and translational studies of inflammatory bowel disease (IBD). We study disease-relevant cell and organ signaling pathways in IBD
-
, electrical engineering, experimental physics, or a related field Strong programming and signal processing skills, with experience in Python and/or MATLAB Demonstrated ability to work independently and
-
control subjects, and pregnant patients, and analysis of continuous time series data including signal processing, feature extraction, and statistical analysis. In addition to high-quality research
-
motivated, creative, independent, and enthusiastic scientist to further our basic and translational studies of inflammatory bowel disease (IBD). We study disease-relevant cell and organ signaling pathways in
-
of power based signaling approaches. Qualification requirements Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. Research potential of each
-
Electrophysiological signal processing of, e.g., EEG, ECG, EMG, etc. Health data science, incl. modern machine, and deep learning methods, Cloud-based platforms like MS Azure or Google Colab Health data standards, like
-
programming skills are essential, along with a track record of published papers and strong self-motivation. - Prior experience in the areas of machine learning / data-driven methods, signal processing and/or