12 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Bournemouth-University" positions at Utrecht University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, Introduction to Python, making figures using GGplot2 and basic machine learning. These courses are offered to PhD candidates through the PhD Course Centre of the Graduate School of Life Sciences . In
-
transport proteins in lipid membranes. Furthermore, the ultimate long-term goal is to integrate these cells in a dialysis machines. The objectives for this position are to: Formulate synthetic cells with
-
sizes and frequencies by: Measuring rock fractures from UAV data using manual and automated mapping approaches (e.g., machine learning, convolutional neural networks). Monitoring physical weathering
-
, including abstract geospatial workflows; design AI- and machine-learning-based methods that automatically describe and model geodata sources using textual metadata (NLP) and the geodata itself; contribute
-
, experimental designs and applying (multivariate) statistical techniques; excellent written and verbal communication skills in English; independence, eagerness to learn and the ability to work in an
-
, multidisciplinary research team; excellent level of written and spoken English. Preferably you also have a proven affinity with physical oceanography. Our offer Being part of and learning from a great team of multi
-
approaches. There is ample opportunity to initiate research projects and to acquire funding. In education, you will teach in the Biology programmes, develop and coordinate a new course, and supervise research
-
, and eager to learn new skills. Teamwork: Strong interpersonal skills, a collaborative mindset, and a flexible approach to work. Language Proficiency: Fluency in English, and knowledge of the Dutch
-
excellent academic record and demonstrate proven enthusiasm for academic research. You are familiar with qualitative research methods (ethnography, in-depth interviewing). Candidates willing to learn
-
, supportive, and intellectually lively environment, where we work hard, learn from each other, and genuinely enjoy what we do. More information For more information, please contact Dr. Fatma Başak Aydemir