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PhD scholarship in computational kinetic modelling of human glycolysis - DTU Biosustain

Thanks to recent advances in computational and analytical biology, it is now possible to reconcile mechanistic models of cell metabolism with information from quantitative multiomics experiments. In this study, we will explore human embryonic kidney (HEK) cells.

This PhD student will work closely with another student who will collect multiomics data from HEK cells specifically for kinetic modelling. The focus of the current project will be to fit a kinetic model with this data and address open scientific questions about glycolysis based on the results.

Bogholder til dynamisk ejendomsadministration virksomhed

Du får ansvaret for at håndtere regnskabsmæssige aspekter for vores portefølje af kunder, der består af foreninger, bolig- og erhvervslejemål. Dette inkluderer daglig bogføring ejendoms- og selskabsfakturaer, håndtering af fakturaworkflow, kontakt til kreditorer og kunder m.v.

Vi tilbyder bl.a. en stilling gerne på 25-30 timer evt. på fuldtid med fleksible arbejdstider, samt et åbent og venligt arbejdsmiljø med gode kolleger og fokus på både personlig og faglig udvikling.

Salgsingeniør

• Har du erfaring med teknisk løsningssalg indenfor industrien?
• Vil du være en del af en stor global virksomhed indenfor industriel automation?
• Og brænder du for at identificere og udvikle nye løsninger og applikationer, der skaber værdi for kunder?

Så er det måske dig, vi er på udkig efter, til denne rolle.

Vi søger en salgsingeniør til at bearbejde det danske marked. Du vil få en afgørende rolle i at vækste den eksisterende portefølje, samt tage aktivt del i det opsøgende salgsarbejde.

PhD scholarship in Uncertainty Quantification for Deep Learning - DTU Compute

Do you want to do research on cutting edge machine learning methods?

If you are establishing a career as a researcher in machine learning, and you are motivated to work with the latest methods for quantifying uncertainty in neural networks, we can offer you the best possible foundation.

During the PhD program, you are expected to:

• Develop novel methods for uncertainty quantification in deep learning.
• Work with state-of-the-art nerual network architectures applied to molecular data.
• Publish scientific papers and present research results in top machine learning conferences such as NeurIPS, ICML, UAI, and AISTATS.

PhD scholarship in Behavioural Experiments with Tradable Credits for Mobility – The Green Token Project – DTU Management

DTU Management’s Transport Division and the Joint Research Centre (JRC of the EU Commission would like to invite applications for a 3-year PhD position starting no later than August 1st, 2024.

The successful applicant will work on research focused on the understanding of detailed individual behaviour under Tradable Credit Schemes (TCS) and the design of such systems for equitable emission management in multi-modal travel settings.