Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
at Dartmouth College (USA). To follow the DTU program, you will be granted a unique study environment, together with several PhDs and Post Docs in related fields. Your primary tasks will be to improve
-
Science, e.g., Molecular Biology. Expertise in functional genomics approaches and computational data analysis. Expertise and interest in gene-regulatory mechanisms. Motivation and strong analytical and
-
a citizen science component to gain a broader data foundation and raise awareness of the issue. The results will support management measures and policy initiatives to reduce plastic pollution
-
, and in time are expected to master both. As formal qualification you must hold a PhD degree (or equivalent) in food science and technology. You will be assessed against the responsibilities and
-
candidates with a degree in materials science, solid state chemistry, electronic engineering or similar. Experience with one or more of the following areas is considered an advantage. Fuel cells and
-
advanced statistical and epidemiological analyses. Complete PhD courses (approx. 30 ECTS credits). Analyze data from national health registers and surveys. Write and publish scientific articles in peer
-
. Ultimately, it aims to deliver a flexible, open solution adaptable across industries. In addition to your core research responsibilities, you will have the opportunity to share your findings through scientific
-
. The scientific work conducted must be positioned relative to current literature and published in conference and journal articles. You are required to have an excellent academic background and must have a strong
-
general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by an evaluation committee headed by Professor Hariklia
-
. The overarching goal of this newly funded project is to realize quantum light sources coupled to quantum memories. Quantum memories are key components of optical quantum computers and scalable quantum networks