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Leading your Research Team in Science
Team leaders should be full of ideas for new research projects and inspire a research group to achieve great results. This practical guide for team leaders, and those who aspire to become team leader, offers a unique approach to help readers develop research and become a more independent and productive investigator. Readers can learn how to recruit and develop talented team members, how to negotiate contracts and manage projects, and how to create wider visibility and publicity for their science. From human resources and project finances, legal affairs and knowledge transfer to public engagement and media performance, the book provides guidance to enhance skills and combine them with those of support staff on the road to success. With numerous valuable tips, real-life stories and practical exercises, this must-read guide provides everything needed to take responsibility for leading research teams. This title is available as Open Access via Cambridge Core.
Developing a Talent for Science
Want to make the most of your talent for science? This practical guide for students, postdoctorates and professors offers a unique stepwise approach to help you develop your expertise and become a more productive scientist. Covering topics from giving presentations and writing effectively to prioritising your workload, it provides guidance to enhance your skills and combine them with those of others to your mutual benefit. Learn how to maintain your passion for science, inspire others to develop their abilities and motivate yourself to plan effectively, focus on your goals and even optimise funding opportunities. With numerous valuable tips, real-life stories, novel questionnaires and exercises for self-reflection, this must-read guide provides everything you need to take responsibility for your own personal and professional development.
Funding Your Career in Science
A practical guide to optimising funding opportunities for establishing or consolidating a successful research career in science.
Funding your Career in Science
Dreaming of a successful future in science? This practical guide for students, postdocs and professors offers a unique step-by-step approach to help you get the funding to start or consolidate your own research career. From preparing and writing effective career grant applications, to understanding how funding agencies will evaluate them, it provides guidance to enhance your skills and combine them with those of others who can support you on the road to success. Learn how to generate great original ideas for your application, strategically prepare and optimise your plan and résumé, develop a convincing title and abstract, convert reviewers' comments to your advantage, and succeed at a selection interview. With numerous valuable tips, real-life stories and novel practical exercises, this must-read guide provides everything you need to optimise your funding opportunities and take responsibility for your own career in science.
Leading Your Research Team in Science
A practical guide for early career scientists to help them start and lead their own research team effectively. This title is available as Open Access via Cambridge Core.
Data-Driven Evolutionary Modeling in Materials Technology
Due to efficacy and optimization potential of genetic and evolutionary algorithms, they are used in learning and modeling especially with the advent of big data related problems. This book presents the algorithms and strategies specifically associated with pertinent issues in materials science domain. It discusses the procedures for evolutionary multi-objective optimization of objective functions created through these procedures and introduces available codes. Recent applications ranging from primary metal production to materials design are covered. It also describes hybrid modeling strategy, and other common modeling and simulation strategies like molecular dynamics, cellular automata etc. ...
Maize
This book examines one of the thorniest problems of ancient American archaeology: the origins and domestication of maize. Using a variety of scientific techniques, Duccio Bonavia explores the development of maize, its adaptation to varying climates, and its fundamental role in ancient American cultures. An appendix (by Alexander Grobman) provides the first ever comprehensive compilation of maize genetic data, correlating this data with the archaeological evidence presented throughout the book. This book provides a unique interpretation of questions of dating and evolution, supported by extensive data, following the spread of maize from South to North America, and eventually to Europe and beyond.
Evolutionary Computation in Gene Regulatory Network Research
Introducing a handbook for gene regulatory network research using evolutionary computation, with applications for computer scientists, computational and system biologists This book is a step-by-step guideline for research in gene regulatory networks (GRN) using evolutionary computation (EC). The book is organized into four parts that deliver materials in a way equally attractive for a reader with training in computation or biology. Each of these sections, authored by well-known researchers and experienced practitioners, provides the relevant materials for the interested readers. The first part of this book contains an introductory background to the field. The second part presents the EC appr...
Communicating Process Architectures 2009
"This book is a collection of the papers presented at the 32nd Communicating Process Architecture conference (CPA), held at the Technical University Eindhoven, the Netherlands, from the 1st to the 4th of November 2009. Concurrency is a fundamental mechanism of the universe, existing in all structures and at all levels of granularity. To be useful in this universe, any computer system has to model and reflect an appropriate level of abstraction. For simplicity, therefore, the system needs to be concurrent - so that this modeling is obvious and correct. Today, the commercial reality of multicore processors means that concurrency issues can no longer be ducked if applications are going to be ab...
Cardiovascular Genomics
The first section of this guide provides methods for cardiovascular phenotyping of rodent models; the second section covers bioinformatic integration of phenotypde data with genome-wide genotype and expression data. Chapters include step-by-step protocols.
