Sort by
Refine Your Search
-
Category
-
Country
-
Field
-
members of the lab to integrate new methods into our current workflows participate in DEEP-DV meetings (online and at various locations in Germany), regularly interact and collaborate with DEEP-DV members
-
numerous non-academic partners such as ministries, local governments, associations, NGOs … How to apply Applications should include: Curriculum Vitae Cover letter Early application is highly encouraged, as
-
to three thematic modules (Cognitive Neuroscience, Clinical and Translational Neuroscience, Development of Neuroimaging and Modelling Methods). Our faculty is very interdisciplinary and comprises more than
-
. Daniel Merkle. The overall research project is based on the novel application of formalisms, algorithms, and computational methods from computer science to the design of microbial communities, ultimately
-
apply a fast and efficient forest trait mapping and monitoring method based on the Invertible Forest Reflectance Model. A machine learning / deep learning framework will be explored and developed
-
. A unique urban site with excellent infrastructure A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic
-
induction • Healthy at work: Numerous health promotion offers, free membership in UKBfit • Employer benefits: preferential offers for employees (corporate benefits) Equal Opportunity Statement We
-
strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration
-
PhD Scholarships in Piezophotoacoustic Technology for Minimally Invasive Endoscopy - DTU Health Tech
sensing the backscattered ultrasound signals. You will join a laboratory with expertise in photonics, piezoelectric materials and device fabrication methods for sensors and actuators, working under
-
Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl