Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
focusing on: Quantum mechanical calculations using density functional theory. Mean-field modeling and Monte Carlo simulations for reaction kinetics. Theoretical spectroscopy By combining quantum mechanical
-
previous first and second-cycle studies at a university or higher education institution. Applicants who are not Swedish citizens need to submit an attested copy of their passport’s information page
-
certificate and transcript of records from previous first and second-cycle studies at a university or higher education institution A copy of your degree thesis/theses, corresponding to at least 30 credits (30
-
CV listing relevant academic degrees, previous employment, and a transcript of university courses and grades. A copy of your degree certificate or verified documentation confirming that the degree
-
degrees, previous employment, and a transcript of university courses and grades. A copy of your degree certificate or verified documentation confirming that the degree requirements. Theses and/or other
-
Networks. The project encompasses several challenges in the gene regulatory network (GRN) field, from simulating realistic networks and data to accurate inference of GRNs from noisy gene expression data
-
evaluation frameworks and/or the development of energy system optimization models. The research is applied and closely linked to industrial interests and needs. About the research Our research aims to provide
-
automated planning, reinforcement learning, logic or combinatorial optimization. Furthermore, candidates should have excellent study results, very good programming skills and high proficiency in oral and
-
. These positions involve advanced numerical simulations and analysis of spacecraft data. The positions are full-time, 100% funded for four years and lead to a doctoral degree in Computational Physics. The expected
-
description The project focuses on studying the evolution of evolvability using computational simulations. Evidence from evolutionary developmental biology suggests that evolvability can change rapidly in