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Field
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, or human-centered ML. ●Proficiency in programming languages (e.g., Python) and ML frameworks (e.g., TensorFlow, PyTorch), with evidence in the form of public (Github) repository. ●Excellent abilities in
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, knowledge of a scripting language such as Python, Perl, awk, or R, and knowledge of core formats and methods for handling genomic sequence and gene annotation data. Stipend $55,572.00 – $87,440.00 Yearly
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scientific programming and numerical computing using languages such as C, Fortran, Python, and MATLAB. (5 points). Accredited training and experience in the use of numerical simulation and the resolution
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Python and experience with GPU cluster environments (e.g., SLURM) are a plus. Special Instructions Please provide a CV, a Research Statement, and two or more letters of recommendation. The target start
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experience writing Python scripts You have experience with maintaining/contributing to OSS, familiarity with big code bases Comfortable with most aspects of Unix/FreeBSD/Linux system administration
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relevant languages (e.g., R, Python, MATLAB, Bash) and experience using HPC or cloud environments. · Proven ability to collaborate effectively with interdisciplinary teams, including bench scientists
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Python. Experience with modern deep learning frameworks such as PyTorch or TensorFlow. Strong analytical and problem-solving abilities. Good written and verbal communication skills. Ability to work
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Science, Psychology, or a related field. Strong programming skills, preferably in Python, with experience in machine learning and data analysis. Familiarity with one or more of the following areas
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algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models Hold at least a
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or more of the following areas: IoT, data mining, cloud/edge/fog computing. • Good knowledge in one of the following programming languages: C/C++, Python. Place of employment: Karlskrona. Employment level