Sort by
Refine Your Search
-
Country
-
Employer
- Chalmers University of Technology
- ARCNL
- Aalborg Universitet
- FCiências.ID
- Fundació per a la Universitat Oberta de Catalunya
- Istituto Italiano di Tecnologia
- Maastricht University (UM)
- National Institute of Research and Innovation
- Umeå University
- University of Amsterdam (UvA)
- Uppsala universitet
- VIB
- Wageningen University & Research
- 3 more »
- « less
-
Field
-
and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with
-
experimental studies, mechanistic modelling, time-resolved data analysis, and machine learning to develop and validate predictive models linking process signals to reaction behaviour, progressing from controlled
-
. Where to apply Website https://www.academictransfer.com/en/jobs/364040/postdoc-position-controlling-sp… Requirements Additional Information Website for additional job details https
-
crop monitoring and decision-support systems for Controlled Environment Agriculture (CEA). This project focuses on the development, validation, and integration of non-destructive plant sensing
-
, such as multi-objective optimization, model predictive control, mixed-integer optimization, stochastic optimization, energy management, or production scheduling. Good knowledge of integrated energy
-
make salts of stacked oxocarbon rings, carrying unpaired electrons, packed face-to-face. Calculations from the Rahm group here at Chalmers (open access, Angew. Chem. Int. Ed. 2025 ) predict
-
, and traceability in accordance with the GDPR and the EU AI Act. Integrate predictive virtual biopsy models in distributed environments. Lead pilot experiments and monitor the convergence of federated
-
. Anticipating the new legislation, the INPROBED project has been granted, which aims to precisely identify and modify cis-regulatory elements and transcription factor genes that control key physiological pathways
-
contribute to our ongoing projects, specifically on development of nanoparticles with predictable interactions with biomolecules and understanding nanoparticles behaviour in biologically relevant environments
-
diodes, photodetectors, or solar cells. The candidate will interact on a regular basis with computational scientists in charge of predicting the stability and properties of such nanocrystals. We