28 phd-position-in-data-modeling-"Prof"-"Prof.-Dr"-"University-of-Strathclyde" positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
and survival in host cells. Through a combination of microbiology, imaging, molecular biology, and translational modelling, the PhD student will generate data to support the design of biofilm-resistant
-
to tumour tissue images have improved characterisation of cancer tumours in clinical routine. However, traditional machine learning models require annotated data and are limited in scope, while foundation
-
&validator=9b89bead79bb7258ad55c8d75228e5b7&job_id=38347 For additional information about this DC position, please contact the scientist-in-charge/supervisor: Assoc. Prof. Margarita Trobos, e-mail
-
establishing a dedicated Metabolomics Capability for Drug Discovery. The researcher position is available for the development and maintenance of a robust bioinformatics metabolomics data analysis platform
-
. For further information about the position, please contact: Professor Daniel Globisch,Daniel.globisch@kemi.uu.se , +46 18 471 36 30 (SciLifeLab DDD Scientific Platform Director) and/or Assoc. Prof. Pawel
-
, developing LLM-driven models for decision-making under deep uncertainties. Supervision: Assoc. Prof. Zhenliang is proposed to supervise the doctoral student. Decisions are made on admission What we offer
-
modeling molecular dynamics using our trapped Rydberg ion technology. This position is part of the ERC Synergy project "Open 2D Quantum Simulator (OPEN-2QS)", which start on 1 May 2025. The OPEN-2QS project
-
with equal opportunities for all. Contact Further information about the position can be obtained from Prof, Jens Jasche, phone: +46 8 553 780 37, jens.jasche@fysik.su.se and the OKC director and PI
-
, iuliana.livia.dasu@fysik.su.se . For information about the employment Prof. Michael Odelius, odelius@fysik.su.se , who can also forward questions to the PhD student council at Fysikum. Application Apply for the PhD
-
have some experience with scientific programming, in particular in Python, PyTorch or similar, in particular with respect to advanced data analysis or modelling operations. PhD students at the department