-
, TensorFlow) and protein language models. Experience with programming (Python preferred) for bioinformatics or data science applications. Exposure to degradomics methods or post-translational modification
-
valuable for specific decision-making tasks while safeguarding sensitive information and building trust among stakeholders. Each PhD project can approach privacy-preserving data sharing from different angles
-
are looking for candidates who have experience with developing AI or machine learning models, as well as bacterial sequence analysis. You should be familiar with relevant programming languages such as Python
-
supervisors, from different universities: Dr. Georgios Tsaousoglou at DTU, and Dr. Maryam Kamgarpour at EPFL, Lausanne, Switzerland, with the opportunity to undertake an extended research stay at EPFL. Project
-
Solid experience with statistical modeling, machine learning, or AI Practical skills in R and/or Python for data analysis and model development Familiarity with microbial ecology, genomics, or food safety
-
have: good knowledge of quantum mechanics knowledge of electromagnetism and solid-state physics experience with scientific programming with e.g. Python, Matlab, Julia experience with writing a scientific
-
related field Documented metagenomics experience Experience with writing and running data analysis scripts in a command-line interface Solid programming experience in Python Experience with scripting and
-
, hysteresis, oscillatory behaviour and support dependencies. Compare cluster behaviour across different characterization techniques (TEM, STM, TPD). Integrate findings to map the relationship between cluster
-
twins, energy islands, electrolyzers, and machine learning. Our team of 25 members (link ) from 13 different nationalities values diversity and includes experts in a broad range of scientific disciplines
-
to dimension the reserves for balancing these power systems with manual and automatic reserves such as mFRR, aFRR and FCR. This PhD project will model different balancing principles including MARI and PICASSO