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Field
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, preferably Reinforcement Learning (e.g., Q-learning, Deep Q-Networks) or other control algorithms. Proficiency in Python, MATLAB, or similar for data analysis, modeling, or AI implementation. Strong written
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. Good skills in programming (e.g. Matlab, Python, C/C++) Strong written and verbal communication skills in English The following experience will strengthen your application: Experience with radars
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purification and/or Python code development. Consideration will also be given to collaborative skills, drive and independence, and how the applicant, through experience and skills, is deemed to have the
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structural biology. Merits are: Experience from protein production and purification and/or Python code development. Consideration will also be given to collaborative skills, drive and independence, and how
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to the faculty's Doctoral Programme (link) Good oral and written presentation skills in Norwegian or English language equivalent to level B2. Good programming skills (any programming language, but C# or python
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learning, deep learning and relevant software framework (R and Python) is highly desired. Very good oral and written communication skills in English are required. Emphasis will also be given on personal
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Strong programming skills in Python (please mention your level of proficiency and knowledge of other programming languages in your CV and motivation letter) Extraordinary motivation for scientific work
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language such as Python, R, C, or MATLAB Fluent in English for communication and scientific writing Merits: Knowledge and experience in: Data Science and Statistics Radio Frequency Digital Signal Processing
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science and machine learning Knowledge with Python or Matlab. Application process Please send your CV, academic transcripts and brief rationale why you want to join this research project via the HDR
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the documentation requirement for doctoral education . Skills and personal qualities Necessary Skills: Strong programming skills in languages such as Python. The ability to work both independently and collaboratively