58 programming-languages-"the"-"Humboldt-Stiftung-Foundation"-"U"-"IDAEA-CSIC" PhD positions at Technical University of Denmark
Sort by
Refine Your Search
-
communication skills in written and spoken English are required. The groups are ambitious and strive to publish in the leading international journals in the field. Approval and Enrolment The scholarship
-
://www.kemi.dtu.dk/english/research/physical-chemistry ), supervised by Professor Klaus Braagaard Møller (https://www.kemi.dtu.dk/english/research/physical-chemistry/klaus-braagaard-moeller ). Through co-supervision
-
, strive toward scientific excellence, be highly motivated, ambitious, and hard-working. Good communication skills in written and spoken English are required. The groups are ambitious and strive to publish
-
programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Kristoffer Almdal and Søren Kramer. We offer DTU is a leading technical university
-
of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Dr. Stefano Donati. Key selection criteria: Professional qualifications
-
the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++, or MATLAB. Experience
-
including GNNs, generative models, or foundation models). Scientific software development, high-performance computing and data infrastructure. Are comfortable programming in Python and working with modern
-
offered within the Marie Skłodowska-Curie QuNEST – Quantum Enhanced Optical Communication Network Security doctoral training program (https://qunest.eu ) and the Villum Investigator Program: Power-Efficient
-
mandatory: Experience with bioinformatics including NGS (Nanopore, Illumina, PacBio) Experience with automation and coding in Python or other programing languages Experience with protein software tools like
-
, Management Science, Analytics and Data Science Knowledge of and practical experiences with programming (e.g., Python, Java, Julia, etc.) You must have a two-year master's degree (120 ECTS points) or a similar