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engineering, computer science or similar Strong analytical and problem-solving skills Excellent written and verbal communication skills in English Ability to work independently and in cross-functional teams
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. Demonstrated skills in computer programming and analysis of complex data sets. Excellent English language and communication skills (written and oral), critical thinking, instrument trouble shooting. Good
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Postdoc in atmospheric chemistry on investigating the phase behavior of secondary organic aerosol...
. Demonstrated skills in computer programming and analysis of complex data sets. Excellent English language and communication skills (written and oral), critical thinking, instrument trouble shooting. Good
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on the intersection of data science, statistics and machine learning, all with applications to wind and solar energy science. You will be a part of an international team developing tools to plan and operate hybdrid
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structure and function Biofilms and EPS Excellence in both written and spoken English As a group member you will be expected to be a team player, where you contribute to student co-supervision, teaching and
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oriented focus. You will join the Junior Innovator program at Aarhus University, comprising young researchers from across all faculties. You will be encouraged to and supported in applying for external
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be widely implemented in clinical programs. Job description The aim of this position is to develop new chemical methods for the modification of nucleic acids. This includes the design and synthesis
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operators, transformers/LLM) and NN training. Strong Python programming skills (as a plus: C++ or Julia) and knowledge of scientific computing libraries (numpy, scipy, JAX…) and machine learning libraries
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structure and function Biofilms and EPS Excellence in both written and spoken English As a group member you will be expected to be a team player, where you contribute to student co-supervision, teaching and
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operators, transformers/LLM) and NN training. Strong Python programming skills (as a plus: C++ or Julia) and knowledge of scientific computing libraries (numpy, scipy, JAX…) and machine learning libraries