Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
qualification you must hold a PhD degree (or equivalent). Specifically, a PhD in manufacturing engineering (or equivalent) with documented experience in the following areas: Precision machining Machining system
-
reproducibility and facilitate future research. Qualifications: A successful candidate will be able to demonstrate some, or all, of the following skills: Proven practical experience with electron-beam lithography
-
PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
(RMM-VLE) based on DTCS and real-time IoT/sensor data Assessment of pedagogical value in user experience studies on enhancing learning experiences (e.g., engagement, motivation, and knowledge retention
-
inhibitor candidates with high predicted affinity and selectivity. These designs will then be experimentally validated through a combination of affinity binding assays, enzymatic activity measurements
-
. Knowledge of and working experience with modern exact methods such as AdS/CFT integrability, conformal bootstrap or localization will be considered an advantage. Our group and research- and what do we offer
-
Social Sciences, Aalborg University. In terms of research The proposed PhD project will be situated within the broader framework of PRAXIS, which investigates how creative, experimental and practice-based
-
terms of research The proposed PhD project will be situated within the broader framework of PRAXIS, which investigates how creative, experimental and practice-based learning cultures can be developed in
-
• Knowledge of statistics and/or data science • Knowledge of Matlab, Python, or a similar programming language • Some research experience (e.g., in the form of a conference contribution, a publication, or a
-
Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
. Documented experience in metabolic engineering, synthetic biology, and microbial physiology. A strong track record working with non-model prokaryotes or emerging microbial platforms. Hands-on experience in
-
workflows: i) workflow 1 investigates experimental use of conversational AI in controlled lab settings, ii) workflow 2 (this PhD project) studies real-world, longitudinal use of conversational AI “in the wild