910 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" positions in Germany
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neuroscience. For details on current research projects, see: http://www.ruhr-uni-bochum.de/igsn . The study programme includes a semester-wide neuroscience lecture "From Molecules to Cognition", oral and written
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workshops, soft skills training and social events. Doctoral candidates in the BGTS study programme can pursue their doctoral studies within the programme of a participating research training group (https
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Positions Application Deadline 28 Feb 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Horizon Europe
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in the 36 months immediately before your recruitment date (mobility rules of the Marie Skłodowska-Curie program) Masters degree in electrical/electronic engineering, computer engineering, computer
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Master`s program in the field of process engineering, chemical engineering, energy engineering, environmental engineering, or a related field Good knowledge of thermodynamics, process engineering, and
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electrical or mechanical engineering Strong mathematical skills Experience in modelling energy systems Very good knowledge and experience in programming (e.g. Python, Matlab, C, C++) Fluent in written and
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and oral Experience with atomistic electronic structure calculations Programming skills Advantages are: Prior knowledge of atomic and molecular physics Thorough and independent working style Knowledge
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Proficiency in at least one programming language, preferably Python; experience with scientific computing, numerical modeling, or machine-learning frameworks is an asset Strong analytical skills with a solid
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in the field of energy storage Experience with programming languages (ideally Python) Fluent in written and spoken English Very independent and self-motivated way of working but also excellent teamwork
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, candidates are required to complete a scientific programming task in the subject area of the advertised position: https://www.hpc.uni-wuppertal.de/de/peter-zaspel/challenge-in-bayesian-inference-for-climate