Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
would build upon the laboratory's past and ongoing work within the context of AI-guided Design, Inverse Design, and Optimization across different application domains. In particular, we are developing
-
experience in developing software for scientific applications, data analysis, or real-time systems is desirable. Experience with parallel computing and optimization techniques for handling large datasets
-
100%, Zurich, fixed-term We are seeking a skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will be involved in the development, optimization, and maintenance of our
-
on the spectroscopic elucidation of transport properties in doped organic thin films. The main tools will include film preparation, optimization of doping protocols, electrical conductivity measurements, temperature
-
. Additional familiarity with building your own embedded sensing sensing setup is a strong plus (e.g., for EMG/ECG/EOG or other differential or regular sensors). An optimal background for the project would be
-
mechanisms underlying bacterial infections and the emergence of antimicrobial resistance, and (2) evaluate novel treatment strategies. A key objective is to optimize the platform for translational applications
-
these circuits into functional cellular therapies. Job description Job responsibilities include engineering, transducing, and characterizing primary T cells with synthetic genetic circuits; optimizing and
-
(FTEs) and Functional Service Providers (FSPs) in the assigned countries. This position works with the team to optimize trial delivery and operational performance while ensuring compliance with Good
-
/jiec.13205 Komkova A., Habert G. 2023. Optimal supply chain networks for waste materials used in alkali activated concrete fostering circular economy. Resources, Conservation & Recycling. DOI:10.1016
-
into functional cellular therapies. Job description Job responsibilities include engineering, transducing, and characterizing primary T cells with synthetic genetic circuits; optimizing and executing protocols