Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
or CO2 through thermal heterogeneous catalysis. For example, have we recently identified a new class of promotion based on spin quenching on Cobalt and Nickel doing surface science experiment
-
software tools Collaborate with an international and multi-disciplinary team within the SIGCOM group Support ongoing activities related to AI/ML for wireless systems Attract new funding related to dynamic
-
Postdoctoral Research Associate- Training in the Design & Development of Infectious Disease Therapeu
including small molecule and vaccine candidates. Postdoctoral preceptors associated with the program are drawn from the departments of Infectious Diseases, Structural Biology, Chemical Biology & Therapeutics
-
on project progress and funding Please upload (i) a short statement of motivation and relevant experience, (ii) CV, (iii) publication list, (iv) exam certificates (if applicable), and (v) names and contact
-
fuels and energy storage agents . The position will begin on 1 August 2026, or as soon as possible thereafter. Job Description Hydrocarbon-oxidizing archaea form obligate syntrophic partnerships with
-
“big data” allowing agnostic and dynamic collection of information, to deliver a new class of research that will enable a better understanding of the clinical, molecular, behavioural and environmental
-
Boehringer Ingelheim within a cross-functional, international team of world-class scientists working on retinal diseases. The grant would also allow you to carry out parts of your planned experiments at your
-
To strengthen our team in the division 2.4 “Testing and Evaluation of Explosives and Pyrotechnics" in Berlin-Steglitz, starting as soon as possible, we are looking for a Postdoctoral researcher(m/f
-
regulatory RNAs. Characterization of RNA devices by structural biology methods such as cryo-electron microscopy (cryo-EM) and tomography (cryo-ET). Testing and screening of RNA devices by functional assays in
-
scale DNA libraries with generative synthesis models, translating in silico predictions into physical gene libraries for experimental testing. Building and evaluating probabilistic deep learning models