513 programming-"the"-"DAAD"-"IMPRS-ML"-"U"-"UCL"-"FEMTO-ST"-"St" positions in Denmark
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are looking for candidates who have experience with developing AI or machine learning models, as well as bacterial sequence analysis. You should be familiar with relevant programming languages such as Python
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) or a similar degree with an academic level equivalent to a two-year master's degree.[BN3] [SK4] Strong programming skills in Python and MATLAB Background in biomedical signal processing, ML, and BCIs
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PhD program, you must include a signed letter from your PhD supervisor stating your expected date of completion. Strong collaborative and communication skills and an interest in method development and
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Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . The application must be submitted via Aarhus University’s recruitment system, which can be
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published/in manuscript form respectively). A research plan for the next three years and plans for external funding, including for instance interdisciplinary collaboration and didactic innovation. A teaching
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at DTU Compute, including teaching and supervision activities We are looking for you who have: Solid knowledge of process mining, continual learning, or cybersecurity Strong analytical and programming
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. Knowledge of olfaction, calcium, or GPCR signalling is preferred. Experience with biological assay developments such as bulk and single-cell reporter assays. Programming skills (e.g., Python, R). As a formal
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Physiotherapy program, and to teach modules at other bachelor and master programs offered at the Faculty of Health Sciences as well as to mentor undergraduate and PhD students. Candidates with the following
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% of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique
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equivalent). Other qualifications and competences include: Experience with bioinformatics Experience with mathematical modelling and programming, including source attribution modelling of foodborne pathogens