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-goettingen.de, Tel. +49 551 39 23481 . Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis
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trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with these challenges. By
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lunch at an attractive price. • Partial reimbursement of transportation costs (75%) + sustainable mobility allowance of up to €300/year • A site accessible by public transportation (Tram T1 + T4 + bus
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gradient estimation of probabilistic programs, implicit function differentiation, compositional Bayesian inference techniques); giving mathematical proofs of their correctness and efficiency; building state
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global change, damaging critical infrastructure resilience. This project is part of the prestigious Loughborough University Vice Chancellor’s PhD Cluster – RAINDROP (Resilient eArthwork INfrastructure
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adaptation policy making. The collaboration involves a project partner who is providing funding and other material support to the project, this means there are special terms that apply to the project
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pay and 8.3% year-end bonus; a pension scheme, partially paid parental leave and flexible terms of employment based on the CAO NU. In addition to the terms of employment external link laid down in
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modern laboratories and access to HPC. Please read more about our research at https://www.bric.ku.dk/Research/weischenfeldt-group/ Terms of employment Salary, pension and terms of employment will be in
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terms of purity, efficiency and photon indistinguishability (PhD2). Supervise MSc/BSc/Fagprojekt project students. Contribute to the development of new SPS designs. Document the research with scientific
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Terms of Appointment Temporary Staff Appointment - Hourly Position Pension Eligibility None Qualifications Minimum Education and Experience Ph.D. or Master’s Degree or equivalent in relevant science plus