Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Postdoc in Psychiatric Epidemiology: Linking Register and Trial Data to Study Postpartum Depressi...
digital treatment of maternal postpartum depression also benefits child outcomes. Initially, the postdoc will focus on conducting register-based studies using national health and administrative data. As the
-
examines whether digital treatment of maternal postpartum depression also benefits child outcomes. Initially, the postdoc will focus on conducting register-based studies using national health and
-
qualitative studies focusing on key speeches and rhetorical themes. The postdoc will be based at the Department for Culture and Language and will be affiliated as a member of the Empires, States and Imperialism
-
. The overall goal of the project is to design a novel high temperature heat pump. You will be conducting Computational Fluid Dynamic (CFD) simulations and cycle analysis, which will be instrumental
-
setting. Conduct process simulations using tools such as Aspen Plus, COMSOL, or equivalent software to predict system performance. Collaborate with engineering companies to develop a prototype carbon
-
be based on the number of years of work experience (seniority) with the possibility to negotiate a salary supplement based on prior experiences and qualifications. The employer will pay an additional
-
contributing to specifically the area of handling spatial data to assess the distribution of several soil properties and fungal communities using samples collected from multiple habitats and land use types at a
-
with experience in one of the following directions: Analysis of meta-omics data sets, microbial physiology and cultivation, enzyme biochemistry or activity-based microscopy techniques (e.g. BONCAT
-
district heating and energy districts based on real-world cases. Our research group brings together experts from diverse backgrounds, with a common focus on improving the efficiency of energy systems
-
: Develop algorithms for translating the EEG recorded signals for seizure detection and prediction. Implementing the developed algorithms on FPGA-based SNN and/or ASIC designed SNN chip with focus on accuracy