845 programming-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions
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methods is an advantage. Your degree must correspond to a five-year Norwegian program, where 120 credits have been obtained at master's level. Master’s students in their final year are welcome to apply
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The PhD position is aligned with a research program that has the overall aim of providing new understanding of the processes that affect marine larval dispersal and gene flow, how we measure it with genetic
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comprehensive programme of training to support both technical and professional development. Core technical training will include in-house numerical modelling sessions, supplemented by access to specialised FEFLOW
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: Assistance is needed to plan, execute, research and write about a SSHRC funded project about revisioning the University using arts based methods. Qualifications Required (skills and abilities, education
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programme. The programme comprises 25 credits and is offered at two study rates: 25 credits over eight semesters, corresponding to four years of full-time study, or over twelve semesters, corresponding to six
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characterization is an advantage. Experience with quantitative data analysis and programming (e.g. Python or MATLAB) is an asset. A self-motivated and organized working style, with the ability to work independently
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meet the requirements for admission to the Faculty's Doctoral Programme . Experience with optimization modelling and numerical optimization tools, such as JuMP, Pyomo, Gurobi, CPLEX, HiGHS, or similar
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. A scientific proposal (max. 1000 words / 3 pages) You must meet the requirements for admission to the PhD program in Information Security and Communication Technology . Applicants who do not master a
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Committee (TAC); Mentoring; Academic Staff Development (ASD) Support for international students and doctoral candidates Welcome event Buddy programme Cultural and linguistic preparation Visa matters Help with
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. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale